America is getting older faster. According to the U.S. Census Bureau, the number of people aged 65 or older in the United States will grow to 95 million by the year 2060 and will account for nearly one-quarter of the population. Artificial intelligence (AI) and technology solutions have a significant potential to transform quality of life and improve health care outcomes for older Americans, including those with Alzheimer's Disease and Related Dementias (AD/ADRD). To meet this challenge, the AI/Tech Aging (a2) Collective is announcing the a2 Pilot Awards, a national competition that will earmark $40 million over the next 5 years for promising pilot projects that leverage AI and other transformative technology to support healthy aging and persons living with AD/ADRD. The a2 Collective represents the National Institute on Aging's (NIA) Artificial Intelligence and Technology Collaboratories for Aging Research (AITC) program, which is dedicated to helping Americans live longer, better through the application of AI and emerging technologies.

Listed below are the key technology trends impacting the smart grid in power theme, as identified by GlobalData. By clicking the Download Free Report button, you accept the terms and conditions and acknowledge that your data will be used as described in the GlobalData Privacy Policy By downloading this Report, you acknowledge that we may share your information with our white paper partners/sponsors who may contact you directly with information on their products and services. Visit our privacy policy for more information about our services, how we may use, process and share your personal data, including information on your rights in respect of your personal data and how you can unsubscribe from future marketing communications. Our services are intended for corporate subscribers and you warrant that the email address submitted is your corporate email address. AI has an important role to play in understanding demand, and generating predictions from non-dispatchable resources such as wind and solar and from wholesale prices.

High-resolution imagery services from the Pléiades and SPOT 6/7 satellites will provide 50cm and 1.5m geospatial imagery into the AGMRI platform as an additional input, so that farmers and ag retailers can make data-driven decisions and proactively manage their operations with confidence. "We are very pleased to be providing high-resolution imagery from Pléiades and SPOT 6/7 satellites, whose complementarity makes them the ideal assets for enriched crop management. They deliver fresh information along with historical insights to help drive decisions in the field. Our data along with powerful machine learning and computer vision from Intelinair will help improve crop yields," said François Lombard, Director of the Intelligence business at Airbus Defense and Space. With satellite and other aerial imagery sources, farmers receive a new perspective of the agronomic conditions in the form of emergence, plant health, weed detection and harvest readiness in their fields throughout the growing season. From this perspective, product performance and crop damage issues become visible so timely management decisions can be made to protect yields and optimize financial returns.

Convergint, a global leader in service-based systems integration, announced plans to acquire Prosys Services, an Australian tier-one provider in security management. Prosys Services is Convergint's third acquisition in Australia, adding 124 colleagues, a deepened presence in New South Wales (NSW), and a new office in the Australian Capital Territory (ACT). "This is another important milestone in expanding our capabilities and service delivery in Oceania, and in our mission to be our customers' best service provider around the globe." "We're thrilled to bring Prosys' team of talented colleagues to Convergint," said Tony Wang, CEO of ICD Security Solutions, Convergint's APAC subsidiary. "From its focus on continuous development to its strong company culture, Prosys has an incredible reputation built on a long-standing commitment to innovating for the future of security technology. This acquisition further accelerates our growth strategy in APAC and allows us to extend our best-in-class service delivery to global enterprises in the region."

Jakaitis has proven success creating and scaling advanced analytics functions in insurance. Most recently, as Director of Business Intelligence for Carrot Fertility, she founded and scaled the company's data function, including overseeing full-lifecycle product management for data products, such as ROI models, engagement and utilization projections, and financial forecasting tools. Prior to that, she served as the Head of Marketing Science at Acrisure Technology Group and was a founding member of Altway Insurance, where she led a cross-functional team in go-to-market and marketing strategy for products in the insurance technology space. She also contributed industry and community thought leadership in the areas of marketing optimization, authenticity in marketing, applied AI, and algorithmic marketing. "Leah's skillsets in these areas are vital to the rapid growth of PCF as we continue to advance our use of and leverage our data and technology to inform strategy to benefit our partners and clients," said Rob Smith, President, Agency Operations.

Facebook-owner Meta is working on artificial intelligence (AI) research to generate worlds through speech, improve how people chat to voice assistants, and translate between languages, Chief Executive Officer Mark Zuckerberg said on Wednesday, as he sketched out key steps to building the metaverse.

Clearview AI has announced it aims to put almost every human's face in its facial recognition database, making'almost everyone in the world will be identifiable' A controversial AI company has announced it aims to put an image of nearly every human face in its facial recognition database, making it possible for'almost everyone in the world [to] be identifiable.' In its latest report in December, facial recognition firm Clearview AI told investors that the company is currently collecting 100 billion photos of human faces for the unprecedented campaign, which will be stored in its dedicated database. The collection of images - approximately 14 photos for each of the 7 billion people on the entire planet, scraped from social media and other sources - would extensively bolster the company's extensive surveillance system, already the most elaborate of its kind. The American company headquartered in Manhattan further told investors that its'index of faces' has grown from 3 billion images to more than 10 billion since the start of 2020. The firm's technology has already been used by myriad law enforcement and government agencies around the world, helping police make thousands of arrests by aiding in various criminal investigations.

SEATTLE--(BUSINESS WIRE)--The Cloud Security Alliance (CSA), the world's leading organization dedicated to defining standards, certifications, and best practices to help ensure a secure cloud computing environment, today released Artificial Intelligence (AI) in Healthcare. Drafted by the Health Information Management Working Group, the report provides an overview of the ways in which AI and machine learning (ML) can be used to bring about major transformations in healthcare while addressing the challenges their use presents, and offering guidance for how to best incorporate them into healthcare systems now and in the future. The document shares examples, use cases, and treatment methods for how AI, machine learning, and data mining can be effectively utilized throughout a healthcare system, including in research, diagnosis, and treatment. It also addresses ethical and legal challenges, bias in AI, and how it relates to telehealth, big data, and cloud computing in healthcare. "This is the time when healthcare leaders should be accelerating their use of AI, which when used with cloud computing has the potential for drastically improving patient outcomes. But, as with any new technology entering the healthcare arena, there are several challenges, among them a lack of data exchange, regulatory compliance requirements, and patient and provider adoption. This paper offers a summary of the areas in which healthcare can benefit, while providing healthcare delivery organizations guidance on how to best address the challenges their use brings," said Dr. James Angle, the paper's lead author and co-chair of the Health Information Management Working Group.

GBT Technologies Inc. (OTC PINK:GTCH) has announced that it is developing an AI empowered technology for automatic compaction of integrated circuit (IC) layout blocks. According to the press release, this technology aims "to read existing and new microchip's layout data with the goal of producing the densest layout block possible." "We believe an efficient layout compaction technology can be a great functional and economical solution for existing and new IP blocks. We are now designing an AI based technology to read an existing IC layout block and compacting its size to the densest possible. The process is targeted to be done automatically and within a short time. We are seeking to design the program with the goal of maintaining the process design rules, DFM guidelines and electrical connectivity correctness. It is the goal for the entire silicon area to undergo significant reduction and therefore enable improved silicon yield and ultimately cheaper ICs. The technology is planned to support older and advanced nanometer processes, Analog, Digital, RF and MIXED styles, making it a flexible tool for all types of IC design firms. As Integrated Circuits technology advances, more functionalities, lower power consumption, higher performance and lower cost are in high demand, especially within advanced nanometer projects."

App Annie has changed its name to data.ai, The name reflects the company's vision to drive comprehensive digital performance with products and partnerships. This is Unified Data AI. According to PwC, 60% of executives cite digital transformation as the top growth driver in 2022. The digital ecosystem, however, remains fragmented and relies too much on in-house IT, data science resources, agencies, and manual processes. This creates significant distraction from the core business.