Space Travel Technologies

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new The intent of AI is to enable computers to perform tasks that normally require human intelligence, as such AI will evolve to take many jobs once performed by humans. When I started in AI in the late 1980’s and through the late 1990’s, AI was identified as a multidisciplinary science, which included expert systems, neural networks, robotics, Natural Language Processing (NLP), Speech Recognition and Vision. This multidisciplinary aspect of AI enabled AI to make inroads into industries such as healthcare, automotive, manufacturing, and the military. — Thinkers360 | World’s First Open Platform For Thought Leaders, 16h ago

new NREC works closely with government and industry clients to apply robotic technologies to real-world processes and products, including unmanned vehicle and platform design, autonomy, sensing and image processing, machine learning, manipulation, and human–robot interaction. — asianroboticsreview.com, 1d ago

new Looking ahead there are many potential applications for responsive machines that can delicately interact with people and unpredictable environments. Examples span search and rescue, industrial inspection, surgery, rehabilitation and assistive devices, wearables, and more. As the components continue advancing in durability and sophistication, soft robots integrating distributed stretchable electronics could profoundly impact society much like past waves of automation. Yet this time bringing enhanced adaptability and cooperation closer to the animal kingdom’s graceful expertise. — nanowerk.com, 1d ago

AI is transforming urban environments in the UAE, cultivating cities that are smarter and more sustainable. Intelligent urban planning is implemented through AI-powered algorithms, optimising energy consumption, mitigating traffic congestion, and improving overall resource efficiency. The incorporation of AI into transportation systems is especially notable. Smart traffic management systems utilise real-time data to streamline traffic flow, leading to a reduction in both congestion and emissions. Additionally, AI-driven public transportation systems are being introduced to elevate efficiency and promote the adoption of eco-friendly commuting methods. — TahawulTech.com, 3d ago

BRAIIN envisions a transformative impact on Indian agriculture through the strategic application of cutting-edge Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and Robotics technologies. These innovative tools serve as catalysts for precision agriculture, empowering farmers with data-driven insights for informed decision-making. AI and ML amalgamate data from varied sources—sensors, satellites, and drones—to optimize farming facets like planting, irrigation, and harvesting. The outcomes reduce waste and increase crop yields. BRAIIN’s applications span various critical areas including Crop Monitoring, Predictive Analytics, Pest Control, Livestock Monitoring, and Supply Chain Optimization. These applications significantly enhance efficiency and sustainability in agriculture. Through the strategic use of drones, satellites, and IoT devices, BRAIIN conducts comprehensive data analysis and employs aerial robots for precise crop spraying, further bolstering agricultural productivity. Our AI enabled customer Experience offerings can help in customer journey mapping, predictive analytics, real-time assistance, automated customer support, omni channel experience, and efficient feedback collection and analysis which can help in both customer retention and acquisition. — CXOToday.com, 3d ago

new Looking ahead, advancements in technologies like artificial intelligence and machine learning will further amplify the impact of airside data analytics. Predictive modelling can anticipate passenger flows, allowing airports to address congestion points proactively. — CXOToday.com, 2d ago

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Deucalion’s architecture makes it perfect to be used to advance research and development in a wide range of domains, for example in meteorology and climate modelling, fluid dynamics and aerodynamics, astrophysics and cosmology, as well as technologies aiming to improve energy efficiency of computing infrastructures. It will also boost innovation in domains such as artificial intelligence, personalised medicine, pharmaceutical/medicine design and new materials, firefighting, territorial planning, but also smart mobility and autonomous vehicles. — HPCwire, 3d ago

new ...“The ambient IoT represents an evolution of the traditional Internet of Things that brings connectivity and product intelligence from large, expensive things to almost everything,” Statler said. “By embedding item-level intelligence into trillions of things, and connecting these products through generative AI platforms, businesses are equipped with the real-time data they need to solve many of their most pressing challenges. Wiliot’s benefits are broad and deep: we create more efficient, response supply chains, reduce their carbon emissions, enhance food and medicine safety, and so much more.”... — supermarketperimeter.com, 2d ago

Technology Integration: Embracing advanced technologies such as artificial intelligence, machine learning, Internet of Things (IoT), blockchain, and data analytics can revolutionize supply chain operations. These technologies enable real-time visibility, predictive analytics, and automation, leading to more informed decision-making and streamlined processes. — IdeaScale, 4d ago

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There is a lot of talk lately about how to use artificial intelligence (AI) in healthcare. Right now, AI is most often used to increase the accuracy and speed of advanced diagnostics and medical imaging. Of course, the power of AI promises to reach far beyond medical applications. It offers a solution to labor-intensive administrative tasks like utilization management, clinical review, and medical coding and billing. — Patient Safety & Quality Healthcare, 11w ago

...5. Robotics: Robotics combines AI with physical machines to create intelligent robots capable of perceiving, learning, and interacting with their environment. AI-powered robots can perform tasks that require physical dexterity, decision-making, and adaptability, making them useful in areas like manufacturing, healthcare, and exploration. — Blockchain Magazine, 6w ago

In summary, artificial intelligence encompasses a broad range of technologies and techniques that enable computers to simulate human intelligence and perform tasks traditionally requiring human cognitive abilities. From narrow AI applications to the pursuit of general AI, AI is transforming industries and shaping the future of technology and society. — Blockchain Magazine, 6w ago

The 4th Industrial Revolution (Industry 4.0) brings the internet of things (IoT), machine learning, and real-time autonomous decision making to warehouse and factory floors. The benefits of factory automation backed by high bandwidth, low latency private 5G networks are seemingly limitless. Robots, vehicles, facilities, and tools become smarter, safer, and more efficient while maintenance and calibration can be scheduled based on feedback from millions of embedded sensors utilizing hyperscale cloud computing. — Data Center Frontier, 7w ago

As someone deeply involved in this field, it’s fascinating to witness how Artificial Intelligence (AI) is revolutionizing drones, making them notably smarter and more self-reliant. AI has enabled drones to tackle an array of tasks with unprecedented efficiency and effectiveness. It starts with autonomous navigation, where AI algorithms facilitate obstacle avoidance, real-time route planning, and in-flight path adjustments, enhancing their ability to operate independently. AI-driven object recognition, particularly through deep learning models like Convolutional Neural Networks (CNNs), empowers drones to identify and track objects, proving invaluable in scenarios such as search and rescue missions and wildlife monitoring. These drones are also equipped with path-planning algorithms that adapt to changing conditions, ensuring obstacle-free journeys. In industrial contexts, AI-equipped drones autonomously inspect structures, detecting defects through computer vision and machine learning. Additionally, AI optimizes delivery routes, improves security and surveillance capabilities, and even enhances energy efficiency, prolonging flight times. The future promises even greater advancements, cementing drones’ role as intelligent, autonomous aerial tools across a multitude of industries and applications. — CXOToday.com - Technology News, Business Technology News, Information Technology News, Tech News India, 11w ago

AI found applications in diverse industries. In healthcare, it aids in disease diagnosis and drug discovery. In transportation, it drives self-driving cars. In finance, AI-driven algorithms make complex trading decisions. In customer service, chatbots provide instant assistance. — Cryptopolitan, 4w ago

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Logistics systems are increasingly utilizing the latest IoT and AI technologies and data to both streamline and optimize logistics operations and transport and deliver cargo in a smarter, more sustainable way. — ELE Times, 3d ago

Before diving into its application in debt management, it is important to grasp the basics of Quantum AI. Quantum AI combines the principles of quantum computing and artificial intelligence to enable complex computations and data analysis. It harnesses the power of quantum bits, or qubits, to process and manipulate vast amounts of data in parallel. This parallel processing capability has the potential to revolutionize various industries, including finance. — Techiexpert.com, 3d ago

Another noteworthy trend arising in the market is rise of Explainable AI (XAI) in augmented analytics. As AI and ML algorithms have become more intricate, explainability becomes essential, particularly in context of regulatory compliance. BFSI institutions are significantly seeking augmented analytics solutions that provide transparent insights, allowing them to explain the rationale behind critical business decisions, thereby building trust with regulators and stakeholders. In addition, BFSI institutions are keen to adopt cutting-edge technologies that can improve their decision-making processes and enhance customer experiences. — alliedmarketresearch.com, 3d ago

AGI usually describes systems that can learn to accomplish any intellectual task that human beings can perform, and perform it better. An alternative definition from Stanford’s Institute for Human-Centered Artificial Intelligence defines AGI as “broadly intelligent, context-aware machines . . . needed for effective social chatbots or human-robot interaction.” The consulting company Gartner defines artificial general intelligence as “a form of AI that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks and domains. It can be applied to a much broader set of use cases and incorporates cognitive flexibility, adaptability, and general problem-solving skills.”... — Fast Company, 3d ago

In this age defined by technological innovations and dominated by technological advancements, the field of Artificial Intelligence (AI) has successfully emerged as the driving force behind transforming the way we live and reshaping industries. AI enables computers to think and learn in a manner comparable to that of humans by imitating human brainpower. Recent advances in Artificial intelligence, Machine Learning, and Deep Learning have helped improve multiple fields, including company operations, improving medical diagnosis accuracy, and even paving the way for the development of self-driving cars and virtual assistants. — MarkTechPost, 4d ago

AI in procurement refers to the application of machine learning, natural language processing, and other AI technologies to automate and improve procurement tasks. This includes everything from analysing spending patterns and predicting future trends to optimising supplier selection and managing contracts. By harnessing vast amounts of data, AI tools can provide insights that were previously unattainable, leading to more informed decisions and strategies. — electronicspecifier.com, 4d ago

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In November 2022, Aves provided valuable insights into Parsons’ strategic plans for integrating artificial intelligence (AI) solutions into next-generation defense and intelligence missions. The integration of AI will revolutionize ground control operations for satellites. Aves highlighted that AI would eliminate the need for manual ground constellation analysis, thereby ensuring a safer, more efficient, and highly accurate transmission of analytics from Earth to Space. — potomacofficersclub.com, 9w ago

Besides environmentally-centered innovations, the aviation sector is leveraging data analytics and machine learning to optimize flight paths, maintenance protocols, and overall cost savings. Carriers are investing in sophisticated data systems and artificial intelligence (AI) to bolster their operational efficacy and simplify complex processes. — Grit Daily News, 10w ago

Future ProspectsAdvancements in AI and Drone TechnologyThe future of AI-powered drones holds tremendous promise. Advancements in AI algorithms and hardware, including faster processors and more efficient sensors, will enable drones to perform even more complex tasks. This includes fully autonomous long-range flights, improved energy efficiency, and enhanced adaptability to diverse environments. — corporateinvestmenttimes.com, 11w ago

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One of the most impactful areas within AI is reinforcement learning, and applying it to game agents offers a dynamic way to exhibit your skills. Developing an AI game agent using reinforcement learning algorithms, such as deep Q-networks (DQN) or Proximal Policy Optimization (PPO), demonstrates your ability to create intelligent agents capable of learning and adapting in real time. Showcase projects where your AI-driven agent excels in complex game environments, highlighting your understanding of both AI principles and game design. — Analytics Insight, 3d ago

Generative AI tools are already serving as efficient copilots in numerous functions, including coding, customer support, and search. We are witnessing a significant acceleration in routine tasks like knowledge retrieval, information summarization, and task automation. This trend is expected to grow, with AI copilots becoming increasingly sophisticated and evolving into long-term agents capable of performing comprehensive business functions and enhancing multistep workflows. We’ll also see the growth of multimodal AI applications become commonplace in everyday business operations. This includes the integration of speech, video, and image-processing capabilities. — Fast Company, 4d ago

In addition, artificial intelligence and machine learning are incorporated into several high-end technologies, like smart devices, natural language processors, computer vision, and voice assistants, for automating tasks and making quicker decisions. Robotic Process Automation (RPA) is another latest technology that uses AI to drive digital transformation. — Picterra, 4d ago

Jason Mann, Vice President of IoT at SAS, said: “Technologies like AI and IoT [Internet of Things] analytics drive important sectors of the economy, including manufacturing, energy and government. Workers on the factory floor and in the executive suite use these technologies to transform huge volumes of data into better, faster decisions. In 2024, the adoption of AI and IoT analytics will accelerate through broader use of digital-twin technologies, which analyze real-time sensor and operational data and create duplicates of complex systems like factories, smart cities and energy grids. With digital twins, organizations can optimize operations, improve product quality, enhance safety, increase reliability and reduce emissions.”... — Datanami, 3d ago

Cognitive computing includes self-learning systems that use pattern recognition, data mining, and natural language processing to impersonate the way the human brain works or takes decisions. Moreover, cognitive computing is a sub-technology of artificial intelligence (AI)that includes almost the same underlying technologies to power its applications such as neural networks, expert systems, robotics, and virtual reality. — CMSWire.com, 3d ago

How can artificial intelligence (AI) further streamline your IT support operations in London, complementing the predictive capabilities of IoT and the security assurances of blockchain? Embracing AI algorithms is key to enhancing operation efficiency, and it’s not just about automation; it’s about intelligent automation. — TechRound, 5d ago

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To cultivate transformative results for a more resilient future, manufacturers, as well as distribution and logistics companies, are turning to advanced technologies. High-performance robots and a blend of unique innovations and sophisticated software are proving to be indispensable in order fulfillment spaces. Recent advancements, for example, combine the utilization of 3D robotic vision, machine learning and artificial intelligence (AI) with software intelligence for optimal motion control. — automation.com, 7w ago

Embedded Technology category: An “All-in-4 AI Total Solution” consisting of four AI chips optimized for AI capabilities and performance that can be applied to various embedded systems Computer Hardware category: The DX-H1, a technology specialized in minimizing energy consumption in high-performance AI computation processing in servers and data centers to reduce carbon emissions Robotics category: The DX-M1 module, which innovatively realizes the intelligentization of edge devices such as robots for unmanned industrial sites and social infrastructure as well as daily life... — TNGlobal, 17d ago

NeevCloud aims to solve fundamental customer problems in India related to accessibility, environmental impact, support, self-reliance, and fostering innovation in cloud and AI technologies within the Indian market. It can help companies accelerate the development of high-performance computing use cases of AI/ML like fraud detection, algorithmic trading and risk modelling in the financial services industry, high-resolution medical imaging, genomics and sequencing, and drug discovery in the healthcare industry. In the automotive industry, it can facilitate the development of autonomous driving, design and manufacturing, and predictive maintenance. — CRN - India, 11d ago

It’s used in applications such as content moderation, customer service, autonomous vehicles, medical diagnoses, virtual simulations, data analytics, financial services, quality control, and more. It helps to drive better outcomes by removing bias, mitigating AI limitations, increasing accuracy, and speeding up the process while still allowing for efficiency and scalability of automated processes. — customerthink.com, 7w ago

Advanced technologies like AI/ ML powered by Cloud interdependently empower companies to optimise operations, enhance customer experiences and at the same time drive innovation. AI and ML analyse vast datasets to uncover insights and predict actionable trends, while data analytics refine decision-making. Cloud computing provides scalable infrastructure for efficient data storage and processing. Together, these technologies enable the development of innovative value models, such as enhanced safety & reliability in utilities, personalised offerings in services, and smarter grids in energy. — sustainabilitymag.com, 8w ago

We are living in a time defined by an urgent need for sustainability, the fusion of artificial intelligence AI, and energy efficiency. As the world grapples with the growing challenges of climate change and resource depletion, the integration of AI-driven solutions into energy management represents a sustainable revolution of great importance. AI has the power to speed up decision-making, automate operations, and optimize processes by utilizing cutting-edge algorithms, machine learning, and data analytics. The ability of AI to analyze big datasets, forecast outcomes, and adjust to changing conditions is altering a range of industries, from manufacturing and healthcare to finance and transportation. — AI Time Journal - Artificial Intelligence, Automation, Work and Business, 10w ago

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Hybrid cloud solutions are indispensable in achieving a balance between data security, scalability, and innovation for banking, fintech, artificial intelligence (AI), and machine learning (ML) industries. These sectors encounter unique challenges, including regulatory complexities, data sensitivity, rapid transaction processing demands, cybersecurity risks, legacy systems, competition, shifting customer expectations, organizational resilience, and global operations. To overcome […]... — DATAVERSITY, 4d ago

The evolution of Industry 4.0 is revolutionizing the production, improvement, and distribution of goods for businesses. Cutting-edge technologies, including the Internet of Things (IoT), cloud computing, analytics, artificial intelligence (AI), and machine learning, are being integrated into manufacturing processes. These "smart factories" employ advanced sensors, embedded software, and robotics to collect and analyze data, facilitating informed decision-making. — EIN Presswire, 6d ago

Artificial intelligence (AI) and cleantech adoption are largely considered to be one-and-the-same these days. AI is compressing and analyzing the massive amounts of data that the cleantech industry produces. It can help optimize solar and wind farms, simulate climate and weather, enhance power grid reliability and resilience, and advance carbon capture and power fusion breakthroughs. Its original prophecy to improve efficiency, reduce costs, and speed up R&D has been proven. However, ethical AI concerns do haunt the cleantech industry. — CleanTechnica, 4d ago

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Multimodal AI and AI simulation will reach new frontiers“The integration of text, images and audio into a single model is the next frontier of generative AI. Known as multimodal AI, it can process a diverse range of inputs simultaneously, enabling more context-aware applications for effective decision making. An example of this will be the generation of 3D objects, environments and spatial data. This will have applications in augmented reality [AR], virtual reality [VR], and the simulation of complex physical systems such as digital twins.”– Marinela Profi, AI/Generative AI Strategy Advisor, SAS... — MarTech Series, 4d ago

VERSES AI is a cognitive computing company specializing in biologically inspired distributed intelligence. Our flagship offering, Genius, is patterned after natural systems and neuroscience. Genius enables intelligent software agents that can learn, adapt and interact with the world. Key features of Genius include generalizability, predictive queries, real-time adaptation and an automated computing network. Built on open standards, Genius transforms disparate data into knowledge models that foster trustworthy collaboration between humans, machines and AI, across digital and physical domains. Imagine a smarter world that elevates human potential through innovations inspired by nature. Learn more at... — GISCafe, 4d ago

Pune, Maharashtra, India., November 28, 2023 - /PressReleasePoint/ - In a landmark development, the integration of Industry 4.0 technologies is redefining the landscape of logistics, heralding a new era of efficiency and innovation. Today, kneo announce the release of latest blog post, "Revolutionizing Supply Chains: How Industry 4.0 is Reshaping Logistics," where kneo automation explore the transformative impact of cutting-edge technologies on the traditional supply chain.This comprehensive blog post delves into several key aspects of the logistics revolution brought about by Industry 4.0:Real-Time Visibility and Traceability: Discover how the deployment of IoT devices, RFID tags, and sensors is providing unprecedented real-time visibility throughout the supply chain. Logistics professionals can now monitor every step of the process, optimize routes, and enhance overall efficiency.Predictive Analytics for Demand Forecasting: Uncover the power of predictive analytics in anticipating demand fluctuations. Machine learning algorithms analyze vast datasets, providing more accurate predictions and enabling better inventory management.Autonomous Vehicles and Drones: Explore the game-changing role of autonomous vehicles and drones in transportation. From self-driving trucks optimizing routes to delivery drones ensuring faster and more efficient services, automation is redefining the logistics landscape.Robotics in Warehousing and Order Fulfillment: Delve into the impact of robotics on warehousing and order fulfillment processes. Automated guided vehicles, robotic arms, and drones collaborate to pick, pack, and ship products with speed and precision, minimizing errors and improving customer satisfaction.Collaborative Supply Chain Ecosystems: Learn about the collaborative approach fostered by Industry 4.0 through digital ecosystems. Cloud-based platforms enable real-time communication and data sharing among supply chain stakeholders, ensuring seamless coordination from production to delivery.This blog post not only highlights the current state of the logistics revolution but also provides insights into the future of supply chain management in the age of Industry 4.0.For more information, check out website https://kneo.in/ and join us in embracing the transformative journey towards a fully optimized and connected supply chain.About KNEO:Kneo has been engaged in the field of industrial automation in various sectors of the economy like Automotive, Food, and beverages, Textile, Process, etc. Along with Automation operations, they are also providing solutions in the IT- OT domain. KNEO helps in automating processes with various Industrial automation services. Their Industry 4.0 solution includes a Performance monitoring system, an advanced scheduling module, a track and trace module, etc... — pressreleasepoint.com, 5d ago

One significant trend is the integration of artificial intelligence (AI) and machine learning (ML) into these systems. AI and ML algorithms have empowered these inspection systems to make real-time decisions, enhancing their accuracy and reliability. This trend is particularly relevant in industries where complex inspections are required, such as automotive and electronics manufacturing. — alliedmarketresearch.com, 4d ago

Edge AI: Edge AI, merging with IoT, prioritizing privacy, and utilizing 5G, is set to revolutionize industries like healthcare, manufacturing, and retail. It enables real-time diagnostics, predictive maintenance, and personalized customer experiences. In autonomous vehicles and smart cities, Edge AI facilitates rapid onboard decision-making and enhances public safety through real-time analytics, signaling a paradigm shift across diverse sectors. — CXOToday.com, 5d ago

Dive into cutting-edge AI with frameworks specializing in reinforcement learning, exploring algorithms that power autonomous systems and decision-making processes. — Analytics Insight, 4d ago

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Forecasting is a crucial technique that utilizes historical and contextual data to estimate future trends based on current patterns. This approach finds broad application across various industries, and AI algorithms are particularly well-suited for it, especially given the abundance of big data. In the tourism sector, forecasting is incredibly useful in understanding tourist demand, which can be used to develop effective marketing strategies, facilitate financial management and human resource allocation, detect scams in restaurants, and support facility management and maintenance needs. Cutting-edge travel apps that use AI-based methods empower us to forecast flights and other aspects of travel, such as hotel accommodations, offering innovative solutions that benefit travelers by identifying the most cost-effective options and providing insights into future flight costs. Travel assistants that leverage advancements in artificial intelligence, mobile devices, natural language processing, and speech recognition have become increasingly popular. These applications are designed to cater to user preferences, interests, and availability, offering on-demand or autonomous suggestions that proactively anticipate their needs. These systems go by different names, such as autonomous agents, intelligent travel agents, or smart concierges, and they enhance the travel experience through personalized and intuitive assistance. — DATAQUEST, 5d ago

BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida TM, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com. — BrainChip, 4d ago

With the constant advancements in technology, Artificial Intelligence is successfully enabling computers to think and learn in a manner comparable to that of humans by imitating human brainpower. Recent advances in Artificial intelligence, Machine Learning (ML), and Deep Learning have helped improve multiple fields, including healthcare, finance, education, and whatnot. Large Language Models, which have recently gathered a lot of attention due to their incredible potential, have shown great human-imitating skills. From question answering and text summarization to code generation and code completion, these models excel at every task. — MarkTechPost, 5d ago

Developing strategic planning and improving corporate performance have likewise been transformed by incorporating AI into business operations. AI-driven methodologies provide sophisticated tools for analysing enormous and complicated datasets, enabling companies to get insightful information and make decisions that were previously beyond the capability of humans. This abstract examines how AI is used to make strategic decisions and improve corporate performance. Organisations may use AI tools like machine learning, predictive analytics, and data mining to find patterns, trends, and correlations in data that indicate undiscovered possibilities and dangers. — The European Business Review, 5d ago

Multiverse Computing is a leading quantum software company that applies quantum and quantum-inspired solutions to tackle complex problems in finance, banking, manufacturing, energy, and cybersecurity to deliver value today and enable a more resilient and prosperous economy. The company’s expertise in quantum algorithms and quantum-inspired algorithms means it can secure maximum results from current quantum devices as well as classical high-performance computers. Its flagship product, Singularity, allows professionals across all industries to leverage quantum computing to speed up and improve the accuracy of optimization and AI models with existing and familiar software tools. The company also has developed CompactifAI, a compressor which uses tensor networks to make large language models more efficient and portable. In addition to finance and AI, Multiverse serves enterprises in the mobility, energy, life sciences and industry 4.0 sectors. The company is based in San Sebastian, Spain, with branches in Toronto, Paris and Munich. For more information about Multiverse’s software contact Victor Gaspar at [email protected]. — HPCwire, 5d ago

AI is transforming security and defense capabilities in profound ways. Advanced computer vision facilitates vast surveillance networks to enhance situational awareness. Algorithms can rapidly analyze threats, supporting quicker response times. And AI-enabled cybersecurity systems detect intrusions and anomalies at machine speed. — AI Time Journal - Artificial Intelligence, Automation, Work and Business, 6d ago

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Versatility: AI spans across diverse sectors, offering opportunities in healthcare, finance, gaming, and beyond. Its applications range from speech recognition and image processing to the development of autonomous vehicles and chatbots. — Analytics Insight, 5d ago

HealthTech drones stand as a transformative force in healthcare, redefining the landscape of medical services through their unparalleled speed and agility in emergency responses, exceeding traffic and geographical barriers to swiftly deliver critical medical supplies. These drones serve as lifelines, connecting the divide between remote, underserved communities and healthcare facilities, confirming timely access to energetic care where infrastructure is lacking. Beyond immediate aid, their high-resolution cameras and diagnostic tools enable real-time medical imaging, essential in disaster zones or areas with limited medical infrastructure. — siliconindia.com, 5d ago

We are in the era of rapid artificial intelligence (AI) development. People are discovering new things to do with AI and firms globally are catering to this demand. One of the most extensive AI implementations has been in chatbots. These are computer programs that simulate conversations with human end users, utilizing Natural Language Processing (NLP) to analyze inputs and generative AI to help automate responses. — E-Crypto News - Exclusive Cryptocurrency and Blockchain News Portal, 5d ago

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...6G-enabled robotics could operate with unprecedented precision, making them more adaptable and effective in various fields, such as manufacturing, healthcare, and space exploration. The ability for robots to communicate and learn from each other in real time will drive innovation in autonomous systems. — bbntimes.com, 8w ago

The future potential of the laboratory automation market is immense, driven by rapid technological advancements, evolving industry demands, and the need for increased efficiency and precision in scientific research, diagnostics, and production processes. As industries such as pharmaceuticals, biotechnology, healthcare, and beyond continue to expand, laboratory automation is expected to play a pivotal role in shaping their growth trajectories. Integration of artificial intelligence, machine learning, and robotics is further anticipated to lead to smarter and more autonomous laboratories, enabling real-time data analysis, predictive insights, and adaptive experiment design. Seamless connectivity between instruments, cloud-based data management, and remote monitoring will further revolutionize the way laboratories operate, enhancing collaboration and enabling researchers to focus on complex tasks requiring human expertise. — asdreports.com, 9w ago

At the heart of this technological transformation lies the concept of Smart Contracts, enabled by Blockchain’s decentralized framework. These self-executing contracts automate actions based on predefined conditions, redefining operational efficiency across industries. In scenarios such as logistics, where IoT sensors monitor package conditions, Smart Contracts enable real-time responses to deviations. This orchestration triggers a series of actions, ensuring the preservation of goods and notifying stakeholders seamlessly. The impact of Smart Contracts reaches beyond logistics to sectors like agriculture and insurance. For instance, in agriculture, these contracts automate irrigation systems based on sensor data, optimizing crop health. Similarly, in insurance, claims processing becomes swift and transparent through IoT-triggered Smart Contracts. These contracts become the linchpin that binds IoT devices to automated actions, promising streamlined and transformative processes. — Smart Liquidity Research, 11w ago

For those who want to get in earlier on an AI investment, companies like AvaWatz are appealing. Founded in 2021, AvaWatz’s platform uses decision intelligence to turn robots into collaborative robots or cobots. Cobots aid businesses in tasks like monitoring airfield debris, increasing manufacturing output and managing challenging terrains. — cryptocurrencynews247.com, 8w ago

...· Confluence of AI and Robotics: The symbiosis between AI and robotics will catalyze the maturation of more adept and adaptable robotic entities. These intelligent automatons will serve multifarious roles, spanning manufacturing, logistics, healthcare, and even austere tasks such as search and rescue operations. — bbntimes.com, 7w ago

AI has expedited significant headway in machine learning and autonomous vehicles. Autonomous vehicles leverage AI for autonomous navigation, potentially reducing vehicular accidents and traffic congestion. Machine learning is likewise deployed in weather forecasting, financial data analysis, and a plethora of other domains. — DEV Community, 8w ago

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...“Mass producing reasonably-priced robots is achievable with economies of scale and advances in technologies, and we foresee all kinds of robots supporting workforces across manufacturing, healthcare, construction, transport, hospitality and more,” one expert said. “Intelligent robots can increase productivity, improve quality control, and help deliver repetitive or dangerous tasks.”... — Sputnik International, 7d ago

We aim to embed embodied intelligence in large-scale robots, including medical robotics for surgeries to assistive robotics for homecare applications. We also explore micro-robotic innovations at the cellular scale, including developing microsurgical tools for precise micro-manipulation. Beyond individual scales, we also explore how these multi-scale robotic systems can integrate and interface with each other, ensuring seamless operations across dimensions. — Imperial College London, 10d ago

The future holds promising advancements in robotic technologies for nuclear cleanup. Research and development efforts aim to enhance robot capabilities, integrating artificial intelligence for autonomous decision-making, creating more agile and adaptable systems, and improving the resilience of robots against extreme conditions. — InnovateEnergy, 6d ago

With constrained resources, limited time, and mounting workloads due to increasingly complex environments, IT teams have embraced AI tools to provide a critical lift. AI can pre-define processes, automate repetitive workflows, set reminders, filter, and tag projects, helping team members focus on other important business needs. AI-powered IT Service Management (ITSM) features can support troubleshooting and guided incident resolution. AIOps is already hard at work helping with proactive digital services management and paving the road toward autonomous operations, which will require little to no human intervention. — unite.ai, 6d ago

AI is revolutionizing transportation through autonomous vehicles and smart traffic management systems. Self-driving cars powered by AI technology have the potential to increase road safety while reducing congestion. AI algorithms also help optimize route planning for logistics companies, leading to more efficient delivery schedules. — Agility PR Solutions, 6d ago

Driven by a successful track record of nine years in technological advancements, CORNERS has ventured into various industry segments, developing an innovative safety intelligence augmentation system powered by AI and Digital Twins. These technologies complement human intelligence and are crucial in scenarios where safety is paramount. The three pillars of CORNERS' technology, known as "Detect, Determine, and Direct," utilize AI, AIoT, and digital twin concepts to detect potential risks, analyze them, and provide instant solutions based on the real-time situation. — EIN Presswire, 10d ago

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IoE systems based on AI and 6G foster productivity and cost-effectiveness in manufacturing operations. Such applications can extract large amounts of data from various sources, including sensors, machines, and networks. AI models can analyze this data to optimize production processes, forecast service requirements, and offer predictive quality assurance. 6G connectivity would power continuous interaction between machines, networks, and staff, allowing for real-time data exchange and decision-making. — unite.ai, 8w ago

AI productivity tools are software applications integrated with artificial intelligence that aid in optimizing work processes, facilitating more intelligent decision-making, and augmenting output. These tools harness AI algorithms to perform tasks autonomously, ranging from data analysis and information retrieval to task automation and predictive analytics. They are designed to adapt, learn, and evolve, refining their functionalities to suit specific user requirements. — Powell Software, 17d ago

Understanding tech-enabled control towers is pivotal in grasping the transformative potential of modern logistics. Essentially, these control towers are refined command centres where artificial intelligence, IoT sensors, data analytics, and other similar advanced technologies converge with human expertise to cater to the complexities of supply chain operations. They provide a comprehensive view of the logistics ecosystem, offering real-time visibility into shipments, inventory, and transportation networks. — CXOToday.com - Technology News, Business Technology News, Information Technology News, Tech News India, 9w ago

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The Pentagon currently employs AI in various capacities, from piloting surveillance drones in special operations to predicting aircraft maintenance needs. The technology is not limited to conventional warfare; it extends to space, where AI-assisted tools track potential threats, and even to health-related efforts, such as monitoring the fitness of military units. The collaboration with NATO allies, notably in Ukraine, demonstrates the global reach and impact of AI in countering adversarial forces. — BitcoinEthereumNews.com, 8d ago

Our research explores how XAI techniques can be applied in and through the Arts to improve the use and understanding of AI in creative practice. The Arts, especially music, also provide a complex domain to test and research new AI models and approaches to explainability. Compared to domains such as healthcare and automotive industries, the arts require similar levels of robustness and reliability from their AI models but have significantly fewer ethical and life-critical implications, making the Arts a great test-bed for AI innovation. — Montreal AI Ethics Institute, 9d ago

Driven by a successful track record of nine years in technological advancements, CORNERS has ventured into various industry segments, developing an innovative safety intelligence augmentation system powered by AI and Digital Twins. These technologies complement human intelligence and are crucial in scenarios where safety is paramount. The three pillars of CORNERS’ technology, known as “Detect, Determine, and Direct,” utilize AI, AIoT, and digital twin concepts to detect potential risks, analyze them, and provide instant solutions based on the real-time situation. — Journal of Cyber Policy, 10d ago

AI’s role in regulatory compliance transcends rule-based automation, introducing semantic understanding and contextual awareness. Natural Language Processing (NLP) algorithms in conjunction with machine learning, enable AI systems to understand the nuances of human language and continuously adapt to evolving regulatory frameworks. This synergy not only ensures precision and adaptability in compliance processes but also anticipates potential regulatory challenges. For banks, this translates into streamlined operations, reduced compliance-related risks, and enhanced agility. Consumers benefit from a secure and transparent financial ecosystem. According to a report by Deloitte, AI could automate up to 70% of regulatory compliance tasks by 2025. — nasscom | The Official Community of Indian IT Industry, 10d ago

The BFSI industry is vulnerable to fraud, and AI plays a key role in enhancing security measures. AI-powered algorithms analyze large amounts of data in real-time to identify unusual patterns and identify possible fraudulent activities. This proactive approach further strengthens the industry’s ability to prevent financial fraud and protect organizations and consumers. Moreover, AI enables the development of financial services based on individual customer information and behavior. Machine learning algorithms analyze customer data to determine preferences, spending habits and financial goals. This information can then be used to create personalized product recommendations, personalized financial advice and banking services, ultimately improving customer satisfaction and loyalty. In addition, the availability of increased computing power, easily accessible through advances in hardware and cloud computing, plays an important role in the development of AI within the BFSI sector. The availability of high-performance computing resources has enabled financial institutions to implement AI solutions with greater ease and flexibility. Furthermore, the implementation of AI based technologies such as AI for BFSI such as robotic process automation (RPA) and natural language processing is expected to open new scope of opportunities for the artificial intelligence in BFSI market during the forecast period. — Allied Market Research, 9d ago

As more data feeds these models, accuracy will skyrocket. Doctors will partner with AI tools to combine human skills and machine computing power. Robotic surgical systems like those used at top hospitals will expand. These superhumanly precise robots controlled by surgeons can enable better outcomes in complex operations through tinier incisions. — ValiantCEO, 11d ago

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AI’s goal is not just to mimic human intelligence but to optimize efficiency, accuracy, and speed in decision-making processes. As AI technology advances, it is becoming increasingly embedded in daily life. It reshapes industries, and raises important ethical and practical questions about the integration of intelligent machines in society. — NFT Evening, 21d ago

RPA harnesses technologies such as artificial intelligence (AI), machine learning, computer vision, and big data analytics to perform various tasks. [Read more…] about Information Technology and Robotics: Innovations Transforming Our World... — Robotics & Automation News, 9w ago

AI has revolutionized various aspects of supply chain management by automating critical tasks. Back-office functions like document processing can now be automated through intelligent automation and digital workers. Logistics and transport automation, exemplified by companies like Amazon, Tusimple, and Nuro, involve technologies such as autonomous trucks. Warehouse management benefits from AI-enabled technologies like cobots, boosting efficiency and safety, with market leaders like Ocado driving innovations. AI-powered computer vision systems automate quality checks, ensuring continuous productivity and accuracy. Additionally, automated inventory management employs bots with computer vision and AI/ML to scan inventory in real time, enhancing efficiency. Predictive analytics and forecasting, powered by ML, enable supply chain managers to make more accurate predictions, aiding inventory optimization and preventing issues like the bullwhip effect. These advancements, while transformative, require careful consideration of feasibility and long-term benefits to ensure successful implementation in supply chain operations. — DATAQUEST, 6w ago

Kimberly Sablon received her PhD in applied physics with a focus on nanophotonics from the University of Arkansas in 2009. She has published more than 60 peer-reviewed papers and contributedto ten scientific and technical books. She performed a set of critical reviews to identify technologicalchallenges and research opportunities in the areas of reconfigurable multimodal sensing, communications, cognitive autonomous systems, AI-controlled networks and generative AI that could offer the greatest benefit to the Department of Defense while assessing the risks to national security. In her current role as the Principal Director for Trusted Artificial Intelligence and Autonomy at the Office of the Assistance Secretary of Defense for Critical Technologies, Dr. Kimberly Sablon leads and coordinates scientific and technological efforts to ensure DOD superiority in future cognitive autonomous systems and hierarchical networks placing much emphasis on testing, evaluation, verification, and validation of dynamic AI systems. To accelerate development of AI-enabled systems and critical enablers, Dr. Sablon has set a strategic vision that is centered around AI systems engineering taking into consideration complexities of the real-world environment. Her strategic vision reflects the need for an advanced intellectual and research base in critical areas, which includes multimodal and interactive trusted perception, Warfighter-in-the-loop design, development and training in live, virtual and constructive environments, autonomous cognition and prediction, distributed, hetero-hierarchical AI architectures to enable edge intelligence, autonomous networks of autonomous systems, and continuous adversarial testing and red-teaming to enhance resiliency of AI systems against adversarial manipulation and deception along with development of approaches for recognizing machine-generated deception. Considering AI operation in autonomous systems requires novel hardware, Dr. Sablon works closely with industry to ensure development of hardware with embedded intelligence to support continuous learning at the edge taking into consideration limited energy budgets and weight constraints. Furthermore, in this role, Dr. Sablon has put in place key initiatives to include a Center for Calibrated Trust Measurement and Evaluation (CaTE) that will serve to operationalize responsible AI for the DOD, AI hubs clustered around imaging processing, signal processing and decision making, and a Community of Action with focused integrated product teams to accelerate AI capabilities for the DOD. — cccblog.org, 4w ago

Self-driving cars and autonomous drones are no longer science fiction. AI technologies, including computer vision, sensor fusion, and deep learning, are essential for these vehicles to navigate and make critical decisions. As AI in this domain matures, we can anticipate safer and more efficient transportation solutions. — Analytics Insight, 26d ago

The autonomous warfront of the future will be a complex landscape, featuring dozens of different technologies working in tandem to ensure battlefield survivability. Autonomous vehicles, drones, and weapons are expected to provide several strategic advantages to military forces and would be deployed in various combat situations, such as urban warfare and desert warfare, providing real-time data and intelligence to increase mission efficiency and accuracy. — mrcy.com, 9w ago

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Multi-Agent Systems (MAS) in Artificial Intelligence study how multiple intelligent agents or robots work together to achieve tasks under common goals or distinct interest scenarios. It involves mixing agents with humans to address raising trust and safety concerns. — IEEE Computer Society, 12d ago

Aerospace, defense, transportation, and many other industries are implementing the latest technologies, including the Internet of Things (IoT), cloud computing and analytics, artificial intelligence (AI), and machine learning (ML), to improve processes and overall operations. Companies in the oil & gas industry are significantly adopting technologies, such as IoT and advanced analytics to enhance operational efficiencies, cut costs, and optimize manual processes. Oil and gas companies experience several unplanned incidences, such as pipe leakage and energy grid failure, which cost millions to them. — ctemag.com, 10d ago

The Artificial Intelligence of Things (AIoT) integrates AI into embedded devices, impacting applications in homes, cities, and industries. Built on Arm technology, AIoT is crucial for interpreting data and bridging the gap between the physical and digital worlds. As AI technology evolves, on-device intelligence is increasingly being utilized in smaller, more budget-friendly, and often battery-powered devices. This approach offers cost benefits, enhanced privacy, and improved reliability due to reduced dependence on cloud-based systems. — Electronics For You, 10d ago

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Vertliner is transforming indoor assessments with cutting-edge robotic and AI technology. Their integrated platform utilises autonomous aerial robots to conduct efficient, fast, and accurate evaluations in various settings, including complex environments like construction sites. — TechRound, 11d ago

We are living in the era of rapid artificial intelligence (AI) development. People are finding new things to do with AI and companies all over the world are catering to this demand. One of the widest AI implementations has been in chatbots – computer programs that simulate conversation with human end users, using Natural Language Processing (NLP) to parse inputs and generative AI to automate responses. — Coinspeaker, 8d ago

Legal domain. AI is poised to transform tasks like drafting contracts and streamlining legal processes for efficiency. However, human professionals will continue to add substantial value through skills such as negotiation, consensus facilitation, and nuanced application of legal principles. AI streamlines tasks but doesn’t replace human expertise in consensus building, complex decision-making, and ethical considerations. — TNGlobal, 11d ago

Looking ahead, Ashton envisions a future where healthcare systems operate with machine-like precision, where patient care is swift, and emergency responses are executed with clockwork efficiency. He dreams of harnessing the power of data analytics to develop predictive models that can revolutionize decision-making in healthcare and disaster management. — Goodnight Scholarships, 12d ago

The BFSI sector deals with vast amounts of data on a daily basis. The proliferation of digital technologies and the widespread use of online and mobile banking have generated immense datasets. AI thrives on data, and the availability of large and diverse datasets in the BFSI sector has facilitated the training of sophisticated machine learning algorithms. This abundance of data enables AI systems to learn and make informed predictions, enhancing decision-making processes. Moreover, various fraud detection, risk mitigation, and back-end office works with thousands of people processing customer requests are improved with the help of AI-enabled technologies such as chatbots, machine learning, and other such technologies, which boost the growth of the market. In addition, the reduction in the tendency of human errors by automation of backend processes and enhancement in proactive customer experience is expected to drive the growth of the artificial intelligence in BFSI market trends. However, rise in security concerns, inadequacy of trust while issuing customer data, and higher cost for implementation of AI technologies are expected to restrain the market growth. New entrants such as FinTech (Financial Technology) with advance features in the market, new initiatives in government regulations, and existing traditional banking system provides lucrative opportunities for the artificial intelligence in BFSI market growth. — alliedmarketresearch.com, 9d ago

The economic interest in quantum technologies stems from their potential to revolutionize various industries. Quantum computing, for example, promises to solve complex problems far beyond the reach of classical computers, offering advancements in drug discovery, materials science, and optimization problems. Quantum cryptography introduces new levels of security in data transmission, appealing to sectors like finance, defense, and telecommunications. The precision of quantum sensors has applications in navigation, geological surveying, and medical imaging, which can lead to significant commercial and societal benefits. The versatility and transformative potential of these technologies make them economically significant, attracting investments and driving innovation in multiple sectors. — S-GE, 13d ago

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Human limitations in tasks involving precision, repetition, and hazardous conditions have sparked a transformative wave of innovation in robotics. Unlike humans, robots excel in areas demanding unwavering accuracy, tireless repetition, and the ability to work in extreme environments, such as toxic surroundings or outer space. They operate without the constraints of human biological needs, functioning continuously without breaks or fatigue. Marco Hutter, a professor of robotic systems at ETH Zurich and co-founder of ETH startups like ANYbotics AG, pioneers the development of quadrupedal robots for industrial use, utilising innovative machines, actuation concepts, and advanced algorithms to achieve agile-legged locomotion. — Falling Walls, 13d ago

Artificial intelligence, particularly machine learning, is transforming the energy, power, and metals and mining industries. Through AI-enabled systems and automation, mining companies are making gains in processing efficiency and metal recovery. In the energy and power sectors, advances in machine learning and newer, more advanced monitoring devices are enabling the processing of ever-growing amounts of grid data, helping to estimate and match varying supply and demand and leading to the easier integration of renewables. For oil and gas, AI-driven tools are helping optimize production and logistics, among other processes. — spglobal.com, 12d ago

This transformative concept excels in recognizing both unstructured and structured data, essential for streamlined operations and efficient management. By automating tasks and offering solutions with minimal human intervention, hyper-automation harnesses the power of artificial intelligence, robotics automation processes, and other technologies, contributing to enhanced organizational efficiency and effectiveness. — Journal of Cyber Policy, 10d ago

...3. Enhanced Administrative Efficiency: AI is streamlining administrative processes within healthcare organizations, reducing the burden of paperwork and improving overall efficiency. Chatbots and virtual assistants powered by AI can handle routine administrative tasks, schedule appointments, and answer patient queries, freeing up valuable time for healthcare professionals to focus on direct patient care. Additionally, AI-driven systems can optimize billing processes, reducing errors and increasing the accuracy of financial transactions in healthcare settings. — Analytics Insight, 10d ago

...'Autonomous things' has emerged as a term denoting technological advancements introducing computers as self-governing entities; encompassing robotics, vehicles, drones, smart home devices and technologies designed for autonomous operations. Propelled by AI algorithms, these entities navigate and interact independently with humans and objects free from direct human control. — techuk.org, 12d ago

The creation of computer systems that are able to carry out tasks that conventionally need human ability is known as artificial intelligence (AI). These tasks encompass problem-solving, learning, reasoning, perception, language understanding, and decision-making. AI can be broadly categorized into Narrow AI (designed for specific tasks) and General AI. — Analytics Insight, 10d ago

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Increasing AI and IoT innovation. The integration of artificial intelligence (AI) with the Internet of Things (IoT) is becoming increasingly prevalent, enabling autonomous agents to interact with and control a wide range of connected devices and systems. This trend is leading to more intelligent and responsive IoT ecosystems, where autonomous agents can analyze data from sensors, cameras, and other IoT devices to make real-time decisions and take autonomous actions. This convergence is particularly prominent in areas like smart homes, industrial automation, and autonomous transportation, where AI-powered agents are enhancing the efficiency, safety, and convenience of IoT-driven environments. — Robotics 24/7, 14d ago

Artificial Intelligence (AI) is increasingly becoming embedded in organisations, with over 90% of business leaders reporting its implementation. Its applications are vast: in healthcare, AI automates medical image analysis, aids in diagnosis, and predicts patient outcomes. In manufacturing, it enhances production efficiency by automating assembly and defect detection. Social and news media benefit from AI's ability to generate news feeds and articles quickly. The finance industry relies on AI algorithms for fraud detection, credit risk assessment, and automated investment strategies. — SME Business Daily Media, 13d ago

Paal AI, on the other hand, specializes in artificial intelligence solutions for data management. The integration of AI into data management processes brings about efficiency, automation, and enhanced decision-making capabilities. Paal AI’s expertise lies in developing intelligent algorithms that can analyze, categorize, and extract valuable insights from vast datasets. — Smart Liquidity Research, 11d ago

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The primary distinction between quantum computers and blockchain technology is their intended use. Quantum computers are designed to perform complex computational tasks, data analysis, and encryption-breaking. In contrast, blockchain technology aims to create trust and transparency in various applications, such as finance, supply chain management, and identity verification. — Blockchain Magazine, 6w ago

Robots and robotics leverage AI to perform tasks, programming machines to interact with their environment through sensors. While autonomous vehicles often steal the spotlight, robots have long been utilized in factories and warehouses to carry out diverse physical tasks. Robotics, driven by AI, are instrumental in automating industries. — Rochester Business Journal, 19d ago

Not surprisingly, therefore, for edge computing inference and AI training on energy/processing constrained systems, analog AI technologies are emerging as a solution to bringing the benefits of DNN without the need for access to extensive cloud AI infrastructure and internet connectivity. This will result in much more responsive, efficient, and capable edge AI better suited to autonomous applications such as robotics, full self-driving, security, and even cognitive radio/communications. — Planet Analog, 11w ago

Deploy intelligent solutions. These include artificial intelligence, internet of things sensors, automated machinery, advanced planning and forecasting algorithms, track-and-trace logistics optimization, and even 5G connectivity. — supplychainbrain.com, 10w ago

...“Advances in computing power, like the cloud, local processors, networking and connectivity have helped to drive new manufacturing capabilities, like digital manufacturing, process automation, robotics, and 3D printing,” he observed. “Now, innovations like artificial intelligence and machine learning will accelerate every aspect of manufacturing, including management and planning, scheduling, inspection and error detection, and inventory control. We are entering Industry 4.0 – or the fourth industrial revolution – where new technologies like the Internet of Things, cloud computing and analytics, and AI and machine learning could be embedded in production facilities and throughout operations.”... — NJBIZ, 10w ago

The rise of AI has initiated a critical evolution in the realm of skills and cognition. Historically, machines have been leveraged to replicate, and often surpass, human physical capabilities—from steam engines revolutionizing manual labor to robotics transforming assembly lines. But AI's foray into domains of human cognition marks a fundamental shift. Not only can advanced AI systems perform tasks that were once exclusive to human minds—such as recognizing intricate patterns, processing vast data sets in real-time, or even creating art and music—but they are also pushing the boundaries of what is considered humanly possible. — Psychology Today, 29d ago

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State-of-the-art processors, fast networking and data sharing, open-systems standards, innovations in cooling and thermal management, and new systems architectures are converging on high-performance embedded computing systems to create new enabling technologies in real-time processing, artificial intelligence (AI), and machine learning for applications in image recognition, radar, electronic warfare (EW), signals intelligence (SIGINT), and more. — curtisswrightds.com, 10d ago

Vector Space Biosciences, Inc., (SBIO), parent company of Vectorspace AI (VXV), along with its scientific collaborators, design, develop and launch biological small satellites (CubeSats) for purpose of generating and interpreting unique datasets related to microgravity and radiation. This leads to the development of countermeasures against diseases associated to stressors connected to protecting and repairing the human body during spaceflight. This includes using a network of scientific data engineering pipelines for building targeted language models resulting in real-time datasets which power Artificial Intelligence (AI) operations in space biosciences, biotechnology and pharmaceutical development. Working with leading scientific labs in the areas of human aging, cancer, and nutrigenomics, our goal is to accelerate the process of new hypothesis generation and novel discoveries in space biosciences, including materials sciences in the area of nanotechnology and nanomedicines. Developing advanced large and small language modeling/AI technologies, our platform is capable of producing more than 100,000,000,000 different real-time datasets for the purpose of accelerating discoveries. Innovations in space biosciences result in products and services for all industries, including the financial markets, more importantly, new forms of precision medicine for all humankind. Please visit us at vectorspacebio.science for more information. — CoinGenius, 13d ago

At the heart of this revolution is the synergy between human intelligence and the computational power of AI. Unlike the industrial gears that mechanized physical labor or the digital revolution that streamlined information processing, the Cognitive Age leverages AI to augment and enhance human cognition. This is not a replacement of human capability but an expansion, where AI acts as a cognitive partner, assisting in complex problem-solving, offering insights from vast datasets, and enabling innovative approaches to longstanding challenges. — Psychology Today, 12d ago

Generative AI, often powered by machine learning algorithms and neural networks, equips robots with cognitive abilities, allowing them to analyze vast amounts of data and derive actionable insights. This synergy is particularly impactful in the following ways within industrial environments:... — InnovateEnergy, 13d ago

Conversational Artificial Intelligence (AI) represents a groundbreaking shift in how humans interact with technology. It is at the forefront of AI applications, blending sophisticated computational capabilities with the nuances of human language and interaction. Conversational AI refers to the use of machine learning, natural language processing (NLP), and other advanced technologies to enable computers to simulate human-like conversations and interactions. — Rebellion Research, 14d ago

For the next frontier in streaming content, I believe there is an increasing interest in immersive media services and applications, like 360-degree video streaming, augmented and virtual reality, and the recent metaverse experiences. These applications bring high fidelity, immersive interaction, and open data exchange between people and the environment. The key to maximizing these applications is to leverage edge computing paradigms. Handling AI models and user data well with QoS-guaranteed inference latency and accuracy can empower edge devices, enhancing immersive multimedia experiences. We have been working on edge-aware model search and quantization, as well as hardware-aware inference deployment. It is exciting to anticipate what new advancements in edge intelligence will reshape the landscape of video streaming or the whole multimedia. — acm.org, 13d ago

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Robotics: AI-driven robots can help in performing tasks semi to full autonomously. It helps in manufacturing and assembly, complex surgeries, and space explorations. — DEV Community, 11w ago

Intelligent Automation is a fusion of Robotic Process Automation (RPA) and Artificial Intelligence (AI) RPA involves deploying software robots to execute rule-based tasks, mimicking human interactions with software interfaces. AI focuses on data analysis, enriching decision-making processes, and facilitating complex problem-solving. This article delves into the role of Intelligent Automation in reshaping the Power sector. — hackernoon.com, 12w ago

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