new The Institute is developing a set of missions to sit under the Defence and National Security Grand Challenge, to be launched soon. These will focus on scientific areas such as multi-modal data and signals analysis, human machine teaming, behavioural analysis, cyber security, reinforcement learning, AI explainability, model security, privacy technology, and digital twins. — The Alan Turing Institute, 8h ago

new Over the past dozen years, Industry 4.0 has revolutionized manufacturing technology, interconnecting machines seamlessly to deliver smart manufacturing through the automation and optimization of processes. Integrating technologies such as the industrial internet of things (IIoT), artificial intelligence (AI), machine learning (ML), and cloud and cognitive computing into manufacturing ecosystems delivers consistent quality and manufacturing flow, improved productivity, reduced downtime, streamlined processes and decreased costs. — Contract Pharma, 8h ago

new ..., Epinote deploys its workforce and technology in to companies to manage tasks which can not ordinarily be automated - arduous repetitive time consuming tasks. With its mix of human hands and technology Epinote project manages jobs like data annotation and enrichment for analytics and AI development, lead generation and validation, CRM management, customer acquisition, market research, analysis and monitoring, as well as support for internal processes, including document management. — Tech.eu, 9h ago

new AI and Machine learning are becoming increasingly important in clinical trials, as they provide a way to analyze large amounts of data and make predictions about outcomes. From identifying potential trial participants to predicting patient responses to treatment, Machine Learning can help make clinical trials more efficient and effective. Additionally, these technologies can help automate routine tasks, freeing up time and resources that can be used to focus on other aspects of the trial. Some of the AI & ML applications in clinical trials include eProtocol Design, eCRF Design, Medical Coding, DB Creation, Data Analytics, CSR Automation, SDV, Site Selection, SDTM Mapping, RBM, Query Management and Chatbots. — Pubs - Clinical Research News Online, 9h ago

new ...“Intelligent unmanned forklifts offer high flexibility to increase work efficiency and employee safety while reducing costs within an operation. We believe that autonomous forklifts play a key role for businesses looking to stay competitive within today’s supply chain. Through the leading multi-sensor fusion technology and deep learning computer vision, our Apex 1500 precisely and intelligently handles pallets in various warehousing, logistics, and manufacturing scenarios,” said ForwardX Robotics CEO, Nicolas Chee. — supplychainquarterly.com, 1d ago

new Undoubtedly, advancements in AI and ML are opening up many new application areas like insurance, financial services energy, shipping, supply chain management, automatic object and change detection over and above the traditional areas like agriculture, forestry, security, etc. Such systems can be used by professionals who may not be experts in geospatial systems but are experts in their domains. — Geospatial World, 16h ago

new Professor Lawrence said this is a pathway for Indigenous students to participate in unique NASA/JPL projects such as robotics for the unexplored ocean worlds, robot perception control, artificial intelligence (AI) and path planning as well as satellites. — Monash University, 1d ago

new Augmented intelligence is similar to artificial intelligence in that it uses machine learning algorithms to enhance defect detection. However, instead of aiming to replace human intelligence, augmented intelligence aims to build upon it. There is therefore a difference in method. Both artificial and augmented intelligence share the goal of improving quality inspection, but these machine learning techniques have different methods to achieve the intended results. — Metrology and Quality News - Online Magazine, 11h ago

new Artificial intelligence (AI) and its ability to analyze vast amounts of data in real-time have revolutionized how we approach complex problems. The cryptocurrency field is no exception to AI’s influence, as Avorak AI sets the bar high by simplifying human-led trading processes and image generation, among others. — CryptoNewsZ, 1d ago

new ..."Intelligent unmanned forklifts offer high flexibility to increase work efficiency and employee safety while reducing costs within an operation. We believe that autonomous forklifts play a key role for businesses looking to stay competitive within today's supply chain. Through the leading multi-sensor fusion technology and deep learning computer vision, our Apex 1500 precisely and intelligently handles pallets in various warehousing, logistics, and manufacturing scenarios," said ForwardX Robotics CEO,... — prnewswire.com, 2d ago

new The Akitda platform has been developed by BrainChip, a company which develops edge AI on-chip processing and learning. Akida uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, and processing data with efficiency, precision, and economy of energy. The 2nd Generation of Akida can enhance vision, perception, and predictive applications in markets such as industrial and consumer IoT and personalized healthcare, etc. — Electronics For You, 1d ago

new About Cognitive SpaceCognitive Space is the market leader in AI/ML-driven, automated satellite mission operations. Cognitive Space enables evolution of satellite operations at scale through effective and dynamic constellation management. The company’s flagship CNTIENT® platform allows commercial space operators and government operation centers to optimize and tailor remote sensing mission planning, scale without disruption, and automate payload scheduling, link management, bus management, and prioritized tasking. More information is available at... — Cognitive Space, 2d ago

new Data science is now being leveraged to help disentangle revenue and yield management, which has long been a tricky issue for the airline sector. Other operational areas that would benefit from intelligent automation include crew scheduling (recall the Southwest Airlines meltdown at the beginning of January); maintenance, repair and operations (MRO); fuel optimization and even mapping routes and destinations. Next-generation talent platforms and ecosystems that leverage cloud, AI and big data analytics can smartly connect enterprises with a specialized, globally accessible workforce. — Hospitality Technology, 1d ago

new Private Mobile Edge Computing (PMEC) platform. The solution is designed to help companies in industries like manufacturing, oil and gas, consumer packaged goods, and pharmaceuticals transform production, harnessing AI and machine learning to make it more intelligent, agile, and resilient. — RTInsights, 2d ago

new Natural language processing, image recognition, fraud detection, recommendation systems, and predictive modeling are just a few of the numerous uses of machine learning. AI can transform many industries and is currently utilized to improve decision-making and automate healthcare, banking, and transportation processes. — IoT Worlds, 1d ago

new He noted: “One of the most obvious ways is that AI chatbots and virtual assistants can help financial institutions offer personalised customer service, 24/7, and respond to client queries in real-time. — electronicspecifier.com, 1d ago

new Applications of AI in this sector are both varied and highly impactful. For example, supply chain professionals are leveraging AI-powered solutions for route optimization purposes, which can reduce shipping and logistics costs and improve efficiencies throughout the supply chain. — thomasnet.com, 1d ago

new Arena enables the training and evaluation of embodied-AI models, along with the generation of new training data based on the human-robot interactions. It can thus contribute to the development of generalizable embodied agents with a wide variety of AI capabilities, such as task planning, visual dialogue, multimodal reasoning, task completion, teachable AI, and conversational understanding. — Amazon Science, 1d ago

new Data science-driven platform seamlessly orchestrates large fleets of multiple robot form factors in very large warehouses to deliver predictable, efficient, and scalable productivity results. | Credit: Locus Robotics... — The Robot Report, 1d ago

new ..., a leader in quantum computing systems and services, is focused on delivering customer value through practical quantum applications for problems such as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, fault detection, and financial modeling. The company is building technologies today to enable new solutions for tomorrow – unlocking commercial use cases in optimization illustrated through its customer success stories (... — InvestorWire (IW), 1d ago

new We partnered with Exo-Space, an innovative Edge AI company, to leverage their FeatherEdge AI platform to provide near real time intelligence derived from Earth observation data. Processing will occur in space prior to transmitting data back to Earth, and will enable our constellation to learn to prioritize the retrieval of useful intelligence so we can deliver efficient actionable insights for critical data driven decisions. We entered into an agreement with SkyWatch, an industry leader in space intelligence platforms, to provide end-to-end data management and distribution capabilities. We announced the successful teaming with Collins Aerospace on the 10 year exploration extra vehicular activity services contract and began manufacturing hardware and supported the program. — Insider Monkey, 1d ago

new MarineM will automate and improve the scheduling of port, tug, and pilotage services, which are crucial for efficient operations. Using algorithms powered by artificial intelligence (AI) and machine learning, marineM’s planning module will manage schedules and dispatch resources – assigning pilots and tugboats to jobs in the most efficient way, and reallocating resources seamlessly if a vessel’s ETA changes. — TechCentral.ie, 1d ago

new Paired together, Interplay’s low-code environment and generative AI give customers what they need to rapidly implement the most cutting-edge AI capabilities that would otherwise require significant resource investments and complex coding. Organizations can now leverage Interplay and generative AI to enhance and automate their existing product descriptions, create personalized product images on their retail sites, personalize ad campaigns with users’ images and themes, build intelligent FAQs, and offer new conversational experiences, among other possibilities. Interplay and its generative AI integrations are applicable across industries, from retail to banking to insurance to healthcare. — MarTech Series, 1d ago

new The promise of Industry 4.0 involves transforming physical factories and facilities into connected ecosystems that provide unparalleled flexibility and efficiency by allowing better control and planning of automated industrial systems. Meanwhile, cloud computing and machine learning can augment a facility’s throughput and efficiency by allowing engineers to optimize internal processes and quality control further. — control.com, 2d ago

new ...• Development and demonstration of materials and technologies for carbon capture and utilization, in particular direct air capture. • Development of best practices for carbon dioxide removal, including measurement, reporting, and verification, and advanced data analytics to develop technologies and practices focusing on information, automation, monitoring, computation, sensing, modeling, and networking.• Research, development, demonstration, and commercialization of sustainable technologies for production, extraction, separation and use of critical minerals, to ensure long-term secure and sustainable domestic supply chains.• Creation of alternative uses of coal, including use as a precursor for manufacturing high value-added products.• Development of technologies, including clean advanced manufacturing technologies with emphasis on those that can enable the decarbonization of the energy, industrial, transportation and buildings sectors. Areas of interest include, but are not limited to, additive manufacturing, smart manufacturing, digital manufacturing, and advanced data analytics to develop advanced technologies and practices in sensing, automation, monitoring, computation, modeling, process integration and intensification, and process scale-up.• Development and implementation of strategies to enable economic development and sustainable energy transitions in the Appalachian region. — sciencenewsnet.in | news, journals and articles from all over the world., 1d ago

new Over the past decade, new technologies have increasingly permeated the factory floor. Automation, always a part of manufacturing, has quickly escalated thanks to ever-increasing computer processing power and data storage. At the same time, technologies such as artificial intelligence, the Internet of Things connectivity, cloud computing, big data analytics, 3D printing, and many others that were previously complex to install and configure have become affordable and scalable. They too have found their way into industrial applications. — ctemag.com, 1d ago

new Energy transition will be a cross-industry effort built on new technologies, including systems to accurately track energy consumption, smart facilities, and energy-efficient computing platforms. The power of data, in tandem with technologies including IoT, AI and blockchain, running on open cloud platforms, can create these types of ecosystems by virtually bringing parties together, at speed and at scale in trusted and secure ways. — sustainabilitymag.com, 2d ago

new Collaborative robots, or cobots, are cost-effective, flexible, and safe solutions for automation. They share workspaces with humans, helping to automate vital tasks. They’re not designed to replace humans – far from it. They can collaborate with humans to enhance human capabilities and free employees to focus on mission-critical tasks. — The European Business Review, 2d ago

new Because of the fast interconnection between the thousands of computers (nodes) within them, supercomputers will always outperform cloud computing to tackle pressing global challenges – for example, by creating digital twins of factories, fusion reactors, the planet and, in our work, even cells, organs and people. These models can accelerate energy, climate and medical research, respectively. — Times Higher Education (THE), 2d ago

new Peer Robotics is a collaborative mobile robotics company that develops material-handling solutions for manufacturing industries. This company delivers human-centric and adaptable mobile robots for efficient material movement in warehousing, manufacturing, and assembly lines. In October 2020, Peer Robotics developed a collaborative autonomous robot for warehouse automation and material handling in manufacturing facilities. This robot can seamlessly navigate through complex environments without any change in the existing infrastructure. — Tech Web Space, 2d ago

new Just as ATMs replaced mundane tasks that didn’t necessitate human interaction, AI-driven chatbots and IVAs can answer common requests and have the capacity to comprehend natural language queries using NLP for helpful responses. Nevertheless, complex problems still need a person’s expertise. Although there may be some boundaries regarding AI-powered automation, its effect on customer service is expansive. — The European Business Review, 2d ago

new Generative AI has been evolving since its introduction at a great pace. The development of Large Language Models (LLMs) can be termed as one of the major reasons for the sudden growth in the amount of recognition and popularity generative AI is receiving. LLMs are AI models that are designed to process natural language and generate human-like responses. OpenAI’s GPT-4 and Google’s BERT are great examples that have made significant advances in recent years, from the development of chatbots and virtual assistants to content creation. Some of the domains in which Generative AI is being used are – content creation, development of virtual assistants, human imitating chatbots, gaming, and so on. Generative AI is also used in the healthcare industry to generate personalized treatment plans for patients, improve the accuracy of medical diagnoses, etc. — MarkTechPost, 2d ago