new ..."AI is the centre of the universe and edges are the way that you'll put it into production. Zero Trust is the way that you'll end up securing it, and ultimately quantum will be the thing that powers it over the long term for the performance and efficiency needed to scale it into a global system," said John Roese, Global Chief Technology Officer. He encouraged thinking actively about AI but conveyed the importance of integrating it with other architectures for long-term success. — IT Brief Australia, 9h ago

new The great technological leaps forward of the past—from the advent of the steam engine to personal computers and the internet—each empowered humans by augmenting their physical and computational capabilities. The artificial intelligence technologies of today, however, expand the domain of technological augmentation to areas long thought to be uniquely human, like creativity. Generative AI’s mastery of what was considered distinctly human means it impacts the professional identity of knowledge workers in ways that we have not seen before, portending a future that looks very different from the world today. — Fortune, 9h ago

new Request a free sample copy in PDF or view the report summary: https://www.expertmarketresearch.com/reports/telemedicine-market/requestsampleTelemedicine Market OverviewUnderstanding Telemedicine This encompasses a wide range of services, from virtual doctor consultations to remote patient monitoring and telepharmacy. Telemedicine eliminates the need for physical presence, making healthcare services accessible to individuals globally.Market Size and Growth The telemedicine market achieved a substantial market size of USD 73.1 billion in 2023 and is poised to continue its growth journey with a CAGR of 19.3% from 2024 to 2032, ultimately reaching a staggering USD 377.0 billion by 2032. This remarkable growth can be attributed to several key factors, which we will explore in detail.Telemedicine Market DynamicsTechnological Advancements The rapid evolution of technology is a driving force behind the telemedicine boom. High-speed internet, smartphones, wearable devices, and improved telecommunication infrastructure have all played pivotal roles in making remote healthcare services accessible. Telemedicine platforms now boast high-quality video and audio capabilities, ensuring seamless communication between patients and healthcare providers.Increased Adoption of Teleconsultation The widespread acceptance of teleconsultation has been steadily increasing. Patients have come to appreciate the convenience and accessibility of virtual appointments, particularly for non-emergency consultations. The COVID-19 pandemic further accelerated this trend, highlighting the importance of remote healthcare services.External Telemedicine Market TrendsChanging Regulatory Landscape Governments and regulatory bodies worldwide are adapting to accommodate telemedicine. They are implementing policies and regulations to ensure patient safety, data privacy, and the growth of telehealth services. Staying informed about these evolving regulations is crucial for telemedicine providers.Remote Monitoring and IoT Integration The integration of Internet of Things (IoT) devices into telemedicine has opened up new possibilities. Remote monitoring of vital signs and health parameters enables proactive healthcare management. Patients can transmit real-time data to healthcare professionals, leading to more accurate diagnoses and treatment adjustments.Explore the full report with the table of contents: https://www.expertmarketresearch.com/reports/telemedicine-marketTelemedicine Market SegmentationPatient Demographics Telemedicine serves a diverse range of patients, from tech-savvy individuals to the elderly and those residing in remote areas with limited healthcare access. Understanding these demographics is vital for tailoring services effectively.Specialty Areas Telemedicine extends beyond general consultations to various specialty areas, including telepsychiatry, teledermatology, teleoncology, and more. Each specialty has unique requirements and considerations, necessitating market segmentation.Telemedicine Market GrowthGlobal Expansion Telemedicine knows no geographical boundaries. Its reach is expanding worldwide, with healthcare providers, tech companies, and startups entering the market from different corners of the globe. This global expansion is contributing significantly to the industry's rapid growth.Improved Patient Outcomes Research indicates that telemedicine can lead to improved patient outcomes. Timely consultations, continuous monitoring, and better access to healthcare professionals contribute to early diagnosis and effective management of various medical conditions.Recent Developments in the Telemedicine MarketTelemedicine Platforms Telemedicine platforms are continually evolving to offer more features and capabilities. Many now integrate electronic health records (EHRs), prescription management, and secure patient messaging, enhancing the overall patient experience.AI and Telemedicine Artificial intelligence (AI) is making its presence felt in telemedicine. Machine learning algorithms are being employed to analyze medical data, predict patient outcomes, and enhance diagnostic accuracy. The integration of AI promises to revolutionize telemedicine further.Telemedicine Market ScopePatient Convenience Telemedicine offers unparalleled convenience to patients. They can schedule appointments at their convenience, eliminating the need for lengthy commutes and extended wait times in crowded waiting rooms.Cost Savings Telemedicine presents cost savings for both patients and healthcare providers. Patients save on travel expenses and time, while healthcare providers can optimize their resources more efficiently.Telemedicine Market AnalysisKey Players The telemedicine market boasts a diverse array of key players, including established healthcare institutions, technology firms, and startups. Prominent players include Teladoc Health, Amwell, Doctor on Demand, and numerous others. These companies offer a wide array of telehealth services and continue to innovate in the field.Patent Analysis Analyzing patents is crucial to understanding the technological innovations propelling the telemedicine market. It offers insights into the key players' areas of focus and hints at potential future developments.Grants and Funding Monitoring grants and funding within the telemedicine sector provide valuable insights into market trends and growth areas. Government support and private investment often signify confidence in the market's potential.Clinical Trials Clinical trials within the telemedicine realm are essential for validating the efficacy and safety of remote healthcare solutions. Keeping abreast of ongoing trials can provide valuable information about emerging telemedicine treatments and technologies.Partnerships and Collaborations Partnerships and collaborations among telemedicine providers, healthcare organizations, and technology companies are commonplace. These alliances often result in innovative solutions and expanded service offerings.FAQ: Addressing Common Questions1. Is telemedicine as effective as in-person visits? Telemedicine has proven highly effective for many types of consultations and follow-ups. However, certain cases necessitate physical examinations or procedures, mandating in-person visits.2. Is telemedicine secure and private? Telemedicine platforms prioritize security and privacy, employing encryption and adhering to stringent data protection regulations to safeguard patient information.3. How can I access telemedicine services? Accessing telemedicine services is straightforward. Many healthcare providers have their telemedicine platforms or collaborate with established telehealth companies. Patients can typically schedule appointments through websites or mobile apps.4. Will insurance cover telemedicine consultations? Insurance coverage for telemedicine varies by provider and policy. Many insurance companies now offer coverage for telehealth services, but it's essential to verify specific plan details.Related Report:Surgical Robots Market... — openPR.com, 13h ago

new Download Free Sample of Report - https://www.globalinsightservices.com/request-sample/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023Security scanning equipment is typically composed of several components including scanners, detectors, and monitors. Scanners are used to detect and identify potential threats, such as malware and viruses. Detectors are used to look for signs of malicious activity, such as unauthorized access to a system or network. Monitors are used to constantly monitor for suspicious activity and alert administrators of any potential threats.Security scanning equipment is essential for any organization that wants to protect its data and systems. It helps organizations detect malicious activity and respond quickly to potential threats. It also helps to reduce the risk of data breaches and other security incidents. Security scanning equipment is an important part of any security strategy and should be implemented in order to ensure the safety and security of an organization's data and systems.Key TrendsSecurity scanning equipment is a broad term that encompasses a wide variety of devices used to detect, identify, and prevent security threats. The technology has been evolving rapidly in recent years, as organizations strive to keep up with the ever-changing security landscape. In this article, we will discuss some of the key trends in security scanning equipment technology.First, the use of biometrics is becoming increasingly popular. Biometric authentication is a process whereby a person's physical characteristics, such as a fingerprint or iris scan, are used to authenticate their identity. This technology is becoming more common in many industries, and is being used to secure areas, as well as to verify transactions.Second, the use of facial recognition technology is also growing. This technology uses facial recognition algorithms to identify individuals and can be used for a variety of security purposes. It is becoming increasingly common in public places, such as airports and stadiums, as well as in corporate environments.Third, the use of artificial intelligence (AI) is becoming more prevalent in security scanning equipment technology. AI can be used to identify and alert security personnel to potential threats before they occur. It can also be used to analyze large amounts of data quickly and accurately, allowing for better decision-making and faster response times.Finally, the use of cloud-based security scanning solutions is becoming more popular. With cloud-based security solutions, organizations can access their security systems from anywhere in the world. This allows for greater flexibility and scalability, as well as faster response times.These are just some of the key trends in security scanning equipment technology. As the security landscape continues to evolve, organizations must continue to stay ahead of the curve by using the latest technology available to them. By doing so, they can ensure that their security systems are up to date and can effectively protect their organization from any potential threats.Key DriversSecurity Scanning Equipment Market is driven by the increasing need for security and surveillance in the public and private sector. The rising number of threats to national security, as well as the need for quick and accurate detection of potential threats has created a strong demand for security scanning equipment. As a result, the market has seen a steady growth over the past few years.The first key driver of the security scanning equipment market is the government's increased focus on security. Governments around the world are investing heavily in security measures, and this includes the procurement of scanning equipment. This is especially true in developed countries, where governments have implemented stringent security measures to protect their citizens. For instance, the United States has adopted a see something, say something approach to security, which requires citizens to report any suspicious activity to law enforcement. As a result, the demand for security scanning equipment has increased significantly.Report Overview- https://www.globalinsightservices.com/reports/security-scanning-equipment-market/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023The second key driver of the security scanning equipment market is the rise of terrorist activities. Terrorists have become increasingly sophisticated in their use of technology to carry out their attacks. As a result, governments and private companies are investing heavily in the development of advanced scanning equipment to detect and prevent these attacks. This has led to a strong demand for security scanning equipment, as these devices are able to detect and identify potential threats quickly and accurately.The third key driver of the security scanning equipment market is the development of new technologies. Advances in technology have enabled the development of advanced scanning equipment, which has made it easier to detect and identify potential threats. For instance, the use of 3D imaging technology has enabled the development of devices that can detect objects hidden within walls and other structures. This has made it easier for law enforcement and private companies to detect and identify potential threats quickly and accurately.The fourth key driver of the security scanning equipment market is the increasing demand for safety and security in public spaces. With the recent increase in mass shootings and other public safety incidents, governments and private companies are investing heavily in the development of advanced scanning equipment to detect and prevent these incidents. This has led to a strong demand for security scanning equipment, as these devices are able to detect and identify potential threats quickly and accurately.Get a customized scope to match your need, ask an expert - https://www.globalinsightservices.com/request-customization/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023Finally, the fifth key driver of the security scanning equipment market is the increasing use of biometric technologies. Biometric technologies allow for the identification of individuals through their unique physical characteristics. This has made it easier for law enforcement and private companies to identify potential threats quickly and accurately. As a result, the demand for security scanning equipment has increased significantly.Market SegmentationThe Security Scanning Equipment Market is segmented into Detection Technology, Application, End User, and Region. On the basis of Detection Technology, the Security Scanning Equipment Market is segmented into X-ray, CT-based, Neutron Sensing and Detection, and Others Detection Technologies. Based on Application, the market is bifurcated into Mail and Parcel and Baggage Scanning. Based on End User, the market is segmented into Airports, Ports and Borders, and Defense. Region-wise, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the World. Key PlayersSome of the key players of Security Scanning Equipment Market are Smiths Detection Inc. (UK), Leidos Holdings Inc. (US), OSI Systems Inc. (US), 3DX-Ray Ltd (US), Teledyne ICM SA (US), Analogic Corporation (US), Nuctech Company Limited (China), Astrophysics Inc. (US), CEIA SpA (Italy), and Gilardoni SpA (Italy). Buy Now - https://www.globalinsightservices.com/checkout/single_user/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023With Global Insight Services, you receive:10-year forecast to help you make strategic decisions... — openPR.com, 16h ago

new Despite the successes of ab initio approaches in a wide range of computer simulations, the team notes that efforts to employ quantum mechanical ab initio methods to predict materials’ properties has not been able to achieve quantum accuracy and scale on the powerful supercomputers needed to perform these simulations. In their abstract to their Gordon Bell Prize-winning project the authors write, “ Ab initio electronic-structure has remained dichotomous between achievable accuracy and length-scale. Quantum Many-Body (QMB) methods realize quantum accuracy but fail to scale.”... — HPCwire, 19h ago

new At the beginning of ECP, EQSIM could resolve motions of 2 Hertz in a material model where the shear speed exceeds 500 meters per second. Now, the team has achieved 10 Hertz in a model that resolves motion down to a shear speed of 140 meters per second—providing a far more realistic predictive tool for validating infrastructure risk. “Earthquake hazards and risks are a problem of national importance,” says McCallen. “The damage that could result from a large earthquake is a bigger societal problem than most people imagine.” Indeed, according to USGS and the Federal Emergency Management Agency, earthquakes cost the nation an estimated $14.7 billion annually in building damage and related losses. Says McCallen, “We’ve really pushed the envelope of what is possible computationally and made tremendous advancements. EQSIM has become a practical tool for realistically evaluating and planning for the effects of future earthquakes on critical infrastructure, providing a basis for objectively and reliably designing or retrofitting structures.”... — HPCwire, 19h ago

new The most unlikely event to ever occur, dear Eva, is you. You stand on the shoulders of giants of causality, relying on the precisely timed meeting of genetic information from two humans. Any minute adjustment to the timing of that meeting and different gametes would have combined and you’d be a totally different person, at least physically. You would, of course, still be some combination (and minor mutation) of your parents’ range of possible genes, but what are those genes if not additional unique combinations of their parents, equally reliant on precise timing, going backward in time billions of years through common ancestors and particle collisions and elemental fusion to the big bang? You won the lottery, Eva, not once, not twice, but over and over again, simply by existing as a conscious being who is capable of understanding the heuristic miracle that is yourself. I hope that makes you feel nice, as it does me. GlennB... — the Guardian, 1d ago

new As the high-speed railway network in China extends beyond 40,000 kilometers, maintaining seamless internet connectivity for passengers is becoming increasingly challenging. The demand for consistent and reliable online access is particularly crucial for travelers who spend extended hours on trains, relying on the expectation of undisturbed work, study, or entertainment. Addressing this need, a team of researchers from the School of Computer Science at Peking University developed ‘HiMoDiag’—an innovative tool designed to enhance the understanding and management of network performance in extremely high-mobility scenarios.“HiMoDiag stands out as a TCP-LTE/5G cross-layer performance analysis tool that enables full stack real-time comprehensive analysis and visualization of network performance from the application layer down to the physical layer,” explains Chenren Xu, corresponding author of the study. “It not only captures performance data across all layers of the network between user application and service provider but also visualizes it in a way that's actionable for network operators.”The team published their results in the KeAi journal High-speed Railway.Notably, HiMoDiag is particularly useful in scenarios whereby passengers expect stable internet connectivity to support their work and leisure activities during travel. The tool’s real-time analysis and visualization capabilities allow for immediate network performance diagnosis and performance optimization—an aspect that traditional diagnostic tools tend to fall short."By integrating cross-layer data analysis, we can now pinpoint and address issues much faster than before," Xu added. "This means less downtime for passengers and a more reliable service overall."The design of HiMoDiag addresses several challenges, including clock synchronization across network layers and endpoints, managing the substantial data volume resulting from 5G's high bandwidth, and mitigating interference arising from performance indicator transmission.Through its implementation and evaluation across an extensive dataset collected on trains with a maximum speed of 350 km/h, it has the potential to elevate network performance, thereby ensuring an enhanced user experience for passengers as well as quality of mission-critical service provided by LTE-R or 5G-R. HiMoDiag’s experiment platform also allows for flexible control over mobile devices, facilitating various types of network experiments. — newswise.com, 1d ago

new Looking ahead, technological advancements will further increase the importance of robust computer security for nuclear safety and security at the State and facility levels. Rapidly evolving technologies such as artificial intelligence are promising in terms of solving some problems and improving digitally controlled operations. At the same time, they present new challenges that need to be addressed. Similarly, wireless and automation technologies are being considered and used today in advanced nuclear reactor designs such as small modular reactors and microreactors. As cyberthreats are constantly and rapidly evolving, IAEA support for Member States’ needs for enhancing computer security for nuclear safety and security requires agility to keep abreast of all the new opportunities and challenges of these novel technologies in order to provide the most efficient standards, best practices, training and guidelines. This is what the IAEA Department of Nuclear Safety continuously strives for. — iaea.org, 1d ago

new Finer control over the visual characteristics and notions represented in a produced picture is typically required by artistic users of text-to-image diffusion models, which is presently not achievable. It can be challenging to accurately modify continuous qualities, such as an individual’s age or the intensity of the weather, using simple text prompts. This constraint makes it difficult for producers to alter images to reflect their vision better. The research team from Northeastern University, Massachusetts Institute of Technology, and an independent researcher respond to these demands in this study by presenting interpretable idea Sliders, which enable fine-grained idea manipulation inside diffusion models. Their approach gives artists high-fidelity control over picture editing and generating. The research team will provide their trained sliders and code as open source. Concept Sliders offers several solutions to issues that other approaches must address adequately. — MarkTechPost, 1d ago

new Researchers from the Lawrence Berkeley National Laboratory and Google DeepMind have published two papers in Nature demonstrating the potential of our AI predictions for autonomous material synthesis. The study shows a finding of 2.2 million more crystals, the same as approximately 800 years’ worth of information. Their new deep learning tool, Graph Networks for Materials Exploration (GNoME), predicts the stability of novel materials, greatly improving the speed and efficiency of discovery. GNoME exemplifies the promise of AI in the large-scale discovery and development of novel materials. Separate yet contemporaneous efforts by scientists in different laboratories across the globe have produced 736 of these novel structures. — MarkTechPost, 1d ago

new Exploring the creative capability of artificial intelligence, a study recently published in Scientific Reports illuminates the captivating interplay between human ingenuity and computational creativity. Researchers Mika Koivisto and Simone Grassini utilized the Alternate Uses Task (AUT) as a medium to explore divergent thinking, a cognitive process wherein individuals formulate varied ideas or solutions in response to a singular task. Encompassing responses from 256 human participants and three advanced AI chatbots—ChatGPT3, ChatGPT4, and Copy.Ai—the study scrutinized creative alternatives for commonplace objects such as a pencil and a candle. Delving into semantic distance and creativity as measured through computational and human evaluators, respectively, the findings unveiled a nuanced narrative: while chatbots, on average, surpassed human scores in semantic distance and creativity, the peak of human creativity ultimately eclipsed the AI-generated responses in seven of the eight scoring categories. Thus, while AI chatbots demonstrably weave a tapestry of ideas that align with, or even surpass, average human creativity, the best level of human imaginative thought, at least presently, remains unparalleled. This investigative foray invites further exploration into the application and integration of AI within the realm of creative processes, foreshadowing an intriguing symbiosis of human and artificial creative potentials. — Montreal AI Ethics Institute, 1d ago

new As Raimondo advocates for increased funding to fortify export controls on AI chips, the question that lingers is whether this financial infusion will be sufficient to counter China’s relentless pursuit of cutting-edge semiconductor technology. In an era where national security is intricately linked with technological supremacy, the decisions made today will shape the future balance of power. Can increased funding truly safeguard the nation’s technological edge, or does it merely represent a temporary barrier in an ever-evolving global landscape? As nations grapple for dominance in the AI arena, only time will reveal the efficacy of these strategic moves and their impact on the delicate balance of international relations. — BitcoinEthereumNews.com, 1d ago

new ...deTour 2023 is presented by PMQ and sponsored by Create Hong Kong of the Government of the Hong Kong Special Administrative Region. This 10-day grand design festival will present various programmes for the art and design communities both in and outside Hong Kong. These programmes include creative installations and exhibitions, workshops, design dialogues, movie screenings, guided tours, and many more. 10 years of deTour at PMQ Started in 2014, PMQ's deTour celebrates the 10th anniversary this year. A unique theme has been assigned to each edition of deTour to explore how design could solve social problems and improve our lives. To commemorate this journey, a 10-year retrospect exhibition will be featured in this year's deign festival to look back on the highlighted exhibits and behind-the-scenes of the past decade of PMQ's deTour. This part of the exhibition will be held during the same period as deTour 2023 Design Festival at PMQ and admission is free, as everyone is invited to witness the road to success of deTour, as the contribution of PMQ and deTour in pushing forward the development of the local design industry. The theme of deTour 2023 – "New Know How" – the Interweaving of "Craft", "Design" and "Technology" Working around "New Know How" as the theme, deTour 2023 aims to pave the road to craft design future which takes off with appreciation of traditional craftsmanship. When working, craftsmen are laser focused, highly precise and people oriented, and these qualities are collectively deemed as the "spirit of craftsmanship", which are also regarded as "Know How". Curators of deTour 2023 stated that "this valuable artisanship ought to be applied to different industries. It, together with design thinking and advanced technology, will help take each industry to a new level. By achieving this, problems can be solved more effectively, and through analysing obstacles from a new angle and perhaps trying solutions with new materials and techniques, new creations that are more thoughtful might be possible – this is what we meant by 'New Know How'." Through this design festival, curators hope to bring the industries to re-appreciate traditional crafts from a new angle and make good use of "New Know How" in different sectors. Three Exhibition Areas with 20 International and Local Works The exhibition of deTour 2023 Design Festival is divided into three parts: International Collaboration, Feature Exhibitions and Selected Entries, which are curated under the five specific directions of New Value, Storytelling, Craft Enhancement, Innovation and Heritage. Scattered all over the PMQ premises, 20 design works from the Nethelands, Japan and local designers are open to the public for free appreciation. . In addition, over the 10 days of the design festival, there will be a fruitful programme of a total of 40 workshops, 12 design dialogues and sessions of documentary screening of "Food and Design". International Collaboration: Craft by Nature by Biobased Creations (The Netherlands) deTour 2023's International Collaboration has invited Biobased Creations from the Netherlands, which is a creative studio formed by a group of designers, researchers and artists who aim to encourage the use of biomaterials - also known as renewable eco resources - in daily lives, so as to evolve our world into a regenerative and circular one. Biobased Creations presents Craft by Nature which is an exhibit specially designed for deTour 2023. Shaped like a house, the exhibit allows visitors to find multiple designs made from biobased materials such as furniture, clothes, shoes and socks, and household items. All of these designs are eco-friendly, light in weight and with a minimalistic design, created by designers from Hong Kong and the Netherlands. Outside the house in the garden, visitors can see the "originals" of the materials used in the designs, including common reed, silvergrass and shells, something that we are familiar with. Other than that, Biobased Creations will also display 40 biomaterials that can be applied in architecture and heat insulation, and visitors are welcome to hold and feel these materials and scan the QR code to instantly learn how these biomaterials are made. Craft by Nature is an innovative installation demonstrating how materials that are ignored or abandoned can be transformed into chic designs, and this allows us to rethink our relationship with the nature and invites us to take one more step forward to make our world better. Feature Exhibitions: Exploring traditional crafts with a fresh eye... — SME Business Daily Media, 1d ago

new The eastern bluebird is a special bird. The blue of its feathers is unique. However, this colour is not based on pigments but on the special structure of the feather. Viewed under the microscope, the feathers are traversed by a network of channels with a diameter of just a few hundred nanometres. By way of classification, a nanometre is a billionth of a metre. The blue of the bluebird came to the attention of ETH researchers from the Laboratory of Soft and Living Materials led by former ETH Professor Eric Dufresne. So much so that they decided to replicate this material in the laboratory. They have now succeeded with a new method: they have developed a material that exhibits the same structural design of the bluebird feathers, while additionally offering potential for practical applications thanks to its nanonetworks. — ScienceDaily, 1d ago

new There are many scientists and philosophers who share this conviction that the fine-tuning of physics can’t be just a fluke, but who think there is an alternative explanation: the multiverse hypothesis. If there is a huge, perhaps infinite, number of universes, each with different numbers in their physics, then it’s not so improbable that one of them would happen to have the right numbers by chance. And we surely don’t need an explanation of why we happened to be in the fine-tuned universe; after all, we couldn’t have existed in a universe that wasn’t fine-tuned. The latter part of the explanation is known as the ‘anthropic principle’. — Aeon, 1d ago

new Their paper, “The internal structure of Eris inferred from its spin and orbit evolution,” recently appeared in the journal Science Advances. The research began while Nimmo was visiting Professor Brown at Caltech and realized that some of his previously-unpublished data could help reveal information about the properties of Eris. At present, we know that Eris is about the same size and mass as Pluto and has a highly eccentric orbit around our Sun, ranging from 38.271 AU at perihelion to 97.457 AU at aphelion. This is almost twice as eccentric as Pluto’s orbit and roughly 50% farther from the Sun. — Universe Today, 1d ago

new Simulations show how urban environments offer a unique set of challenges for UAVs due to the turbulent flows generated by infrastructure. Current designs are susceptible to these gusts in specific scenarios and may not have the response times necessary to overcome these flows. While there are exciting possibilities for the development of these technologies, further work must be done to ensure the steadiness of the UAVs and the safety of deliveries and future passengers. The view of Jetson-like flying cars dotting the skies is still found most often in animated films or Star Wars. But that can be changing rapidly so the newer buildings and infrastructure in urban areas should start to look like it can sustain those air taxis and Amazon delivery drones being talked about. — Connected World - IoT and Digital Transformation, 2d ago

new Generative AI is a ground-breaking technology, and we are excited to integrate it into Oracle NetSuite soon. The rapid progress in generative AI illustrates that other AI technologies are likely to see significant advancements as well. The future lies in a combination of various AI technologies and business applications. Large Language Models (LLMs) excel in understanding language and data, while traditional AI technologies are proficient in handling numerical data. The goal is to make AI seamless within the user experience. It should assist, advise, and adapt to users’ needs without requiring them to understand the underlying technology. In Oracle NetSuite, we’ve integrated generative AI seamlessly into everyday workflows. Our unique approach leverages the wealth of data within Oracle NetSuite to tailor the AI to the specific context and user requirements. Users can configure AI to match their company’s preferences, aligning with our philosophy of enabling easy configurability for all users. — DATAQUEST, 2d ago

new As you know, that view can be rejected as a kind of metaphysical, necessitarian prejudice. The claim is that, in fact, when we look at what science tells us about quantum phenomena and the indeterministic order of things, especially now, in the 21st century, we shouldn’t endorse that picture. What we need is a probabilistic conception of causation rather than a necessitarian one. It’s exactly that wedge that Kane uses as the metaphysical or ontological foundation of this alternative picture. He also uses computing analogies, and suggests that you can have parallel processing systems where the outcome isn’t always the same. The system can be in a seemingly identical state, but different outcomes will issue from it. Same inputs, different outputs. — Five Books, 2d ago

new Liquid-crystal (LC) phase modulators are widely used in optical systems because of their advantages of low power consumption, light weight, flexible bandwidth adjustment, and non-mechanical movements. However, most LC phase modulators are polarization-sensitive, meaning that they affect the phase of light differently depending on its polarization. This can limit their performance and functionality in some applications.There are two main approaches to realizing polarization-independent LC phase modulators. The first approach is to use polarization-independent LC materials, such as polymer-stabilized blue-phase liquid crystals (PS-BPLCs). However, PS-BPLCs require high driving voltages, which can make them impractical for some applications.The second approach is to change the alignment of the LC directors. One way to do this is to use a double-layer LC cell, which consists of two LC cells stacked on top of each other with their LC directors oriented orthogonally. This allows light to be decomposed into two orthogonal components, each of which experiences the same phase modulation. However, double-layer LC cells are complex and difficult to manufacture.Another way to achieve polarization-independent LC phase modulation is to use orthogonal photoalignment. This involves using a special photoalignment layer that creates orthogonal alignment domains in the LC. However, it is difficult to achieve precise alignment using this method.In a new paper published in Light: Advanced Manufacturing, a team of scientists led by Professor Jiangang Lu have developed a new approach to polarization-independent LC phase modulation.Polarization-independent LC phase modulation is based on a light-controlled azimuth angle (LCAA) process. The LCAA process uses the optical rotatory effect of cholesteric liquid crystals (CLC) to create single-layer, multi-microdomain, orthogonally twisted (MMOT) structures.MMOT structures are composed of multiple microdomains with orthogonally aligned LC directors. The LCAA process uses a patterned light beam to control the alignment of the LC directors in each microdomain. This allows the researchers to create MMOT structures with precise alignment.LC phase modulators with a single-layer MMOT structure have the potential to be both polarization-independent and have a large phase depth. This makes them ideal for a wide range of applications, including optical communications, wearable devices, and displays.A light-controlled azimuth angle (LCAA) process can be used to fabricate a multi-microdomain orthogonally twisted (MMOT) device with low polarization dependence, high phase retardation, and a simple structure. The alignment angle between the top and bottom substrates in the LCAA process and the mask grid size of the MMOT structure can be tailored to meet the requirements of different applications.This device has the potential to revolutionize the way we use light in a variety of applications. For example, it could be used to create new types of optical communications systems that are more efficient and reliable. It could also be used to develop new types of wearable devices that can display information in a more clear and concise way. — newswise.com, 2d ago

new Among the lowest-hanging fruit for AI in government involves press releases and other forms of communication from agencies to residents. Zencity, for example, debuted a ChatGPT tool that writes what amounts to a first draft of a press release — including potential quotes from public officials. That could save significant time for city managers, among other advantages, according to the company.Municipal budgeting, too, could serve as fertile ground for generative AI.A new AI tool from ClearGov takes in past budgeting data and future estimates to produce what officials sometimes call a budget narrative. Such narratives, which put spending figures into context, often help those officials sell the budget to peers and voters. AI could bring more efficiency to the process, usually the most difficult and contentious work undertaken by local and state governments.Generative AI also gained more of a presence in higher education in 2023. The technology can help with essays, math problems and lesson plans, with work completed within seconds. But fears of plagiarism and other abuses have led to a more cautious welcome for AI in universities and colleges than in city halls, with large school districts such as the one in New York City initially placing restrictions on ChatGPT.College deans and local school boards continue to grapple with the full implications of AI. So are other governmental bodies as the technology hogged more of the spotlight as 2023 progressed. Maine imposed a six-month ban on the use of AI for state employees using state devices or conducting state business. Officials said they needed time to study the privacy, bias and misinformation concerns sparked by ongoing deployment of AI-based products. Executive orders started to emerge at a regular clip as fall rolled around, with Pennsylvania, Virginia, Oklahoma and New Jersey governors all issuing guidance within a few weeks of each other. Their missives were followed within weeks by an AI Executive Order from the White House in late October. Each official action recognized both the potential and the risk, with many calling for outside help to develop appropriate policies for safe use in service of their residents.It’s almost impossible, however, to imagine a gov tech future without much more artificial intelligence. Evidence for that comes from every corner of the industry.For instance, industry giant Tyler Technologies touted its growing ability to use AI for quicker and more accurate court filings, whose complex coding and redaction requirements often force judicial employees to perform manual data entry. Klir’s new AI-backed offering is designed to improve water management and compliance, with what the company calls “holistic” views of utility systems delivered via a chatbot fueled by artificial intelligence.Startups, of course, have also embraced AI, as shown by the most recent cohort from CivStart’s gov tech accelerator program, which provides at least some foreshadowing of the tools public agencies might be using a few years from now. One of the program participants is using artificial intelligence to help local officials — many of them new to the grunt work of government — write and manage legislation. — GovTech, 2d ago

new Dr. Durrance has an interdisciplinary research and education program in long-term human space exploration. The hazards associated with long-term exposure to the space environment, such as radiation damage and the loss of bone mass, are not sufficiently understood to determine whether they pose acceptable risks or not. Research focused on these hazards is critical to sustained human presence outside the protective environment of the Earth ’s atmosphere and magnetosphere. This program uses the Space Life Sciences Laboratory (SLS Lab) at Kennedy Space Center (KSC); as well as labs at Florida Tech.Lunar dust physics: Enabling technologies must be developed, including systems to mitigate the damaging effects of dust contamination; technologies that use the local planetary resources to produce consumables such as oxygen, water and rocket propellant; food production systems; innovative range technologies and many more. We are currently studying the induction charging characteristics of lunar dust.Bone Loss: The objectives of the bone project are (1) to provide a dynamic model of the structure and function of bone in response to loading with sufficient precision to predict the effect of any arbitrary loading history and (2) to develop and refine new countermeasures against bone loss.Radiation damage: Solar and galactic radiation is a major hazard to space crews during long-duration flights and planetary bases beyond the Earth ’s magnetic field. Intense solar flares can induce acute radiation sickness, galactic cosmic rays can kill brain cells that the body cannot replace, and all forms of radiation can induce cancer. The only known safety measure is shielding to prevent the high-speed particles from reaching the crew.Dr. Durrance is has an interdisciplinary research and education program in astrobiology addressing three fundamental questions: How does life begin and evolve? Does life exist elsewhere in the Universe? What is the future of life on Earth and beyond? Research addressing these questions is highly interdisciplinary involving fields such as physics, biology, chemistry, geology, and planetary science.Extrasolar Planets: Most of the newly discovered planets have been found using indirect techniques, where the planet ’s effect on light emitted from the parent star is detected, not the light emitted by the planet itself. The most likely technique for detecting life on these planets is a detailed analysis of their spectra; therefore, we are developing a system that may be able to detect IR emissions from exoplanets using large, ground-based telescopes along with Very Long Baseline Interferometry (VLBI) techniques developed for radio astronomy.Amyloid Fiber Formation: We are pursuing research that may shed light on a fundamental question regarding the origin of life: how did the transition from non-living to living matter occur? We are investigating the spontaneous formation of long linear fibers from a weak solution of proteins using dielectric spectroscopy. This phenomenon may be important in neurodegenerative diseases and it may help to understand the emergence of ordered biological structures that are far from thermodynamic equilibrium.Dr. Durrance Director of the Sub-Orbital Research and Training Center that utilizes flights of high performance F-104 jets from the Shuttle Landing Facility (SLF) at KSC. In addition to the testing of prototype spaceflight hardware for NASA and commercial companies, we are developing an imaging system designed specifically for imaging Earth ’s coastal regions. The coastal zone is not only the most significant ocean area in terms of productivity, economics, recreation, and natural resources but it is also the most difficult to image. — fit.edu, 2d ago

new Brains can imitate, but do so in a fundamentally different way from LLM pretraining. Specifically, after self-supervised pretraining, an LLM outputs exactly the thing that it expects to see. (After RLHF, that is no longer strictly true, but RLHF is just a fine-tuning step, most of the behavioral inclinations are coming from pretraining IMO.) That just doesn’t make sense in a human. When I take actions, I am sending motor commands to my own arms and my own mouth etc. Whereas when I observe another human and do self-supervised learning, my brain is internally computing predictions of upcoming sounds and images etc. These are different, and there isn’t any straightforward way to translate between them. (Cf. here where Owain Evans & Jacob Steinhardt show a picture of a movie frame and ask “what actions are being performed?”) Now, as it happens, humans do often imitate other humans. But other times they don’t. Anyway, insofar as humans-imitating-other-humans happens, it has to happen via a very different and much less direct algorithmic mechanism than how it happens in LLMs. Specifically, humans imitate other humans because they want to, i.e. because of the history of past reinforcement, directly or indirectly. Whereas a pretrained LLM will imitate human text with no RL or “wanting to imitate” at all, that’s just mechanically what it does. — alignmentforum.org, 2d ago

new My research interests are varied and I tend not to espouse a specific research agenda because of the diverse nature of our doctoral programs relative to the size of our college. Examples of doctoral research studies I have guided include the following: MATHEMATICS EDUCATION: (1) Examining the effect on student achievement and attitudes of graphing utilities in college algebra courses taught at two-year colleges; (2) Exploring the influence instructional use of calculators in elementary grades has on student performance on the mathematics component of the Florida Comprehensive Assessment Test (FCAT); (3) Applying a conceptual change model, commonly used to assess students' misconceptions of key science concepts to community college mathematics teachers misconceptions of how students learn mathematics; (4) Examining the spacing effect theory (i.e., how variations in the frequency and timing of instruction affect student learning) with respect to 3-, 2-, and 1-day per week schedules in college algebra. SCIENCE EDUCATION: (1) Examining the effect of biology-based virtual and physical field trips relative to students' science achievement and attitudes; (2) Examining the effect of conceptually-based instructional strategies on science achievement and attitudes of community college students in first-semester general biology, microbiology, and human anatomy and physiology courses; (3) Investigating the direct and indirect effects of teacher attributes, classroom attributes, and instructional strategies on Namibian junior secondary school teachers' locus of control, self-efficacy, and attitudes toward desertification; (4) Investigating the effect of student- and teacher-centered instructional strategies with and without conceptual advocacy on ninth-grade biology students' misconceptions, biology achievement, attitudes toward science, and cognitive retention of scientific method and measurement, spontaneous generation, and characteristics of living things. COMPUTER SCIENCE EDUCATION: (1) Examining the effects of a computer-based feedback and assessment environment on Taiwanese students' English language acquisition; (2) Examining the effect of a classroom restructuring involving the introductory course in computer science (CS 1); (3) Examining the perception of control relative to Taiwanese students’ affective domain (locus of control, self-efficacy, test anxiety) in three different types of testing environments: computer-based (CBT), pseudo computerized-adaptive (pseudo-CAT), and pseudo self-adaptive (pseudo-SAT). AVIATION SCIENCE EDUCATION: (1) Developing a causal model to help explain and predict the relationships among various attributes of airport executives that lead to a career in airport management. AVIATION SCIENCES: (1) Identifying factors that contributed to certified flight instructors (CFIs) becoming complacent, which could then be manifested as a lack of or reduced vigilance. (2) Identifying factors related to hazardous events that were precursors to runway incursions classified as pilot deviations. (3) Examining the relationship between factors affecting the aviation profession and the concept of aviation professionalism. (4) Examining the safety climate at targeted U.S. based aviation maintenance, repair, and overhaul (MRO) facilities. (5) Examining the survival strategies of U.S. domestic airlines relative to their route exit/entry decision patterns and air fare competition dynamics. — fit.edu, 2d ago

new Exhibit A is Amara’s law, named for scientist, researcher and former President of the Institute for the Future Roy Amara. He is best known for saying, “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” Boy howdy, does that ever apply to digital technologies in general and artificial intelligence specifically. AI may change the world — curing cancer, reversing climate change or taking all our jobs while creating a bunch more new ones — but mostly in the outbound years and decades. In the near term, it creates shadows for us to worry about, plan around and get distracted by even as we experiment and put it to work.In many respects, GenAI represents a victory lap for Moore’s law, based on Intel co-founder Gordon Moore’s formulation about the exponential growth of computational prowess. Originally coined in 1965 around the doubling of transistors on microchips every couple of years, it bumped up against the physical limits of silicon-based technologies. As AI models grow massively in size, from millions to billions and even trillions of parameters, the underlying hardware continues to keep pace even as margins narrow. Chip maker Nvidia, with its combination of advanced graphics processing units (GPUs) and tensor processing units (TPUs) that are optimized for AI tasks, reaches beyond transistor density in pushing the upward limits in the exponential increase in computational power.Not far behind, but perhaps in a supporting role, is Metcalfe’s law. Named for Ethernet inventor Robert Metcalfe, it suggests that the value of a network is proportional to the square of the number of its users. When the campaign for digital government was young, broadband penetration reached 51 percent — giving advocates the opportunity to claim that government could then serve a “digital majority.” As of last year, that number has reached 90 percent. The stakes are high for the remaining 10 percent, often characterized as underserved communities including low-income and racialized populations along with people who have chosen not to engage in a connected world. By extension of Metcalfe’s law, more user interactions contribute to AI’s knowledge, which relies on iterative feedback for fine-tuning and improvement. The absence of marginalized voices is deafening to generative models. They cannot be trained with what isn’t there, increasing the risk of unconscious bias and the skewing of results. — GovTech, 2d ago

new The success of ChatGPT speaks foremost to the power of a good interface. AI has already been part of countless everyday products for well over a decade, from Spotify and Netflix to Facebook and Google Maps. The first version of GPT, the AI model that powers ChatGPT, dates back to 2018. And even OpenAI’s other products, such as DALL-E, did not make the waves that ChatGPT did immediately upon its release. It was the chat-based interface that set off AI’s breakout year.There is something uniquely beguiling about chat. Humans are endowed with language, and conversation is a primary way people interact with each other and infer intelligence. A chat-based interface is a natural mode for interaction and a way for people to experience the “intelligence” of an AI system. The phenomenal success of ChatGPT shows again that user interfaces drive widespread adoption of technology, from the Macintosh to web browsers and the iPhone. Design makes the difference.At the same time, one of the technology’s principal strengths – generating convincing language – makes it well suited for producing false or misleading information. ChatGPT and other generative AI systems make it easier for criminals and propagandists to prey on human vulnerabilities. The potential of the technology to boost fraud and misinformation is one of the key rationales for regulating AI.Amid the real promises and perils of generative AI, the technology has also provided another case study in the power of hype. This year has brought no shortage of articles on how AI is going to transform every aspect of society and how the proliferation of the technology is inevitable.ChatGPT is not the first technology to be hyped as “the next big thing,” but it is perhaps unique in simultaneously being hyped as an existential risk. Numerous tech titans and even some AI researchers have warned about the risk of superintelligent AI systems emerging and wiping out humanity, though I believe that these fears are far-fetched.The media environment favors hype, and the current venture funding climate further fuels AI hype in particular. Playing to people’s hopes and fears is a recipe for anxiety with none of the ingredients for wise decision making. — GovTech, 2d ago

new Having recently gone through a process of building that connection between IT and ed tech in Sacramento County, Brooks offered several recommendations for how to do it. One was to begin meetings by focusing on projects and ideas where both sides are in broad agreement, since some ideas will inevitably be contentious. Another was not to underestimate the need for communicating even the simplest things, like the IT department’s direct email and phone number, and to make sure teachers know them.As an example, Brooks mentioned his team’s work with El Centro Jr./Sr. High Juvenile Court School after the pandemic, which entailed building new systems to track, update and standardize personal devices; building a collaborative team with the input and perspective of teachers and administrators at El Centro; hiring an ed-tech coordinator; and training teachers on the 21st-century skills they’re now expected to impart upon students.He said when teachers asked for new Wi-Fi access points at the school that students could use outside of regular hours, conversations with IT led them to realize it wasn’t doable because of the school’s particular restrictions on unsupervised use of its network and devices. But because IT had open lines of communication with the school’s teachers and staff, they understood the problem and it didn’t turn into a fight.Co-leading the session with Brooks, SCOE’s Director of Computer Science and Digital Learning Jared Amalong said one of his strategies for building such relationships is to assume best intentions and remember everyone has a common purpose: to help students.“What I’ve learned through this work is that Andrew and his team are right here alongside our teachers, our paraeducators, our counselors, our administrators, our ed-tech staff, for the same very reason,” he said. “We’re here to do good things for students, and when you bring that mental model, even when those conversations are tough, we’re able to find resolution and what’s good for students.”... — GovTech, 2d ago

new KAREN HAO: I think what we've seen is not with, with open source models, I would not describe that as democratizing AI development in the way that I was sort of trying to evoke earlier. The thing about democratizing AI development and governance is that people should be also able to say that they don't want things to be released. So, you know, Meta has taken, they're sort of seen as a, as a bit of a champion around open source AI development. They've taken a stance of we're going to release these models and allow anyone to commercialize off of these models. But no one actually has a say other than Meta about whether they released those models, you know, so that in and of itself I think is undemocratic. And part of the, part of the issue as well with the way that Meta so-called "open sources" its AI models is they allow anyone to take it, download it, and manipulate it, but they don't actually tell anyone how this technology was developed. So one of the things that people have really pushed for heavily-researchers, certain researchers have pushed for heavily-is the fact that Meta or any company could actually open source the data that they use to train these models. You know, you could open source the data, understand far more about what's actually being poured into these technologies and you wouldn't actually accelerate necessarily- it's sudden proliferation everywhere. So one, one of the concerns with the way that Meta behaves that, you know, an OpenAI or other type of company that has a more closed model approach argues is, "Oh look Meta is just accelerating this race, this competitive race and actually creating more dangerous dynamics," sort of to your question of like, does that actually make things worse? And, and I would say like there are actually many ways to increase the democratic governance of these, these technologies and kind of the scientific examination of these technologies without actually accelerating this race such as the data open sourcing. And by doing that you then enable many more scientists to kind of study what actually we're- what are we even feeding these models to then also study how what we feed in relates to what comes out. And then you end up hopefully in a situation through a lot of more scientific research and debate and contestation just better models that don't break that work for more people that are hopefully less computationally intensive and less data intensive so they're not as costly to the environment. And you would end up with- what I think would be more beneficial AI development. — Big Think, 2d ago

new The cautious yet optimistic adoption of these technologies by cities like Boston and states like New Jersey and California signals a significant shift in the public-sector landscape.The journey from skepticism to the beginnings of strategic implementation reflects a growing recognition of the transformative potential of AI for public good. From enhancing public engagement through sentiment analysis and accessibility to optimizing government operations and cybersecurity, generative AI is not just an auxiliary tool but a catalyst for a more efficient, inclusive and responsive government.However, this journey is not without its challenges. The need for transparent and accountable technologies, responsible usage, constant vigilance against potential misuse, and the importance of maintaining a human-centric approach in policymaking are reminders that technology is a tool to augment human capabilities, not replace them.With responsible experimentation and a commitment to continuous learning, governments can harness the power of generative AI to reshape how they deliver public services. The future of governance is being rewritten, and it's up to us to ensure that this story is one of progress, inclusivity and enhanced public welfare.Beth Simone Noveck is a professor at Northeastern University, where she directs the Burnes Center for Social Change and its partner projects, the GovLab and InnovateUS. She is core faculty at the Institute for Experiential AI. Beth also serves as chief innovation officer for the state of New Jersey. Beth’s work focuses on using AI to reimagine participatory democracy and strengthen governance, and she has spent her career helping institutions incorporate more participatory and open ways of working. — GovTech, 2d ago