Latest news with #LLM-driven
Malaysian Reserve
6 days ago
- Business
- Malaysian Reserve
PR Newswire Empowers Brands for AI Search and Strategic Communications with Multichannel Content Amplification
Key features for optimizing content in an AI-driven search environment NEW YORK, July 18, 2025 /PRNewswire/ — As Large Language Models (LLMs) rapidly transform the search landscape, PR Newswire is empowering communicators to excel through its advanced Multichannel Amplification™ services. PR Newswire helps organizations publish once and reach everywhere, enhancing topical authority and shaping favorable AI-generated summaries. Key Features of PR Newswire's Multichannel Amplification services: Topical Authority: Build and reinforce your brand's presence in authoritative search results by leveraging PR Newswire's industry-leading distribution network, designed to surface expert-driven content across major search engines and media outlets. This is crucial for establishing your brand as a trusted source in an LLM-driven search environment. AI-Friendly Optimization: Structure and distribute press releases that are easily understood and surfaced by AI models, including LLMs. This boosts your brand's visibility and positioning in AI-generated answers and summaries, ensuring your message is accurately interpreted and presented in the evolving search ecosystem. One Message, Multiple Missions: Whether it's media relations, investor updates, brand awareness, or thought leadership, PR Newswire enables you to fulfill multiple communications objectives through a single, strategically crafted piece of content, optimized for how LLMs process information. 'PR Newswire's platform is built for today's evolving media landscape, deeply impacted by the rise of LLMs,' said Jeff Hicks, Chief Product and Technology Officer at PR Newswire. 'We're not just distributing press releases – we're giving brands the tools to influence conversations, rank as topical authorities, and be found in the ways people are searching today, which increasingly means through LLM-powered interfaces.' Helpful resources Ready to enhance your brand's visibility in the age of AI? Learn more about PR Newswire's Multichannel Amplification services: Watch PR Newswire's recent on-demand webinar, 'From Keywords to Conversations: How AI Search is Reshaping PR,' to explore how smart distribution can maximize visibility in the age of AI and LLMs: About PR Newswire PR Newswire is the industry's leading press release distribution partner with an unparalleled global reach of more than 440,000 newsrooms, websites, direct feeds, journalists and influencers and is available in more than 170 countries and 40 languages. From our award-winning Content Services offerings, integrated media newsroom and microsite products, Investor Relations suite of services, paid placement and social sharing tools, PR Newswire has a comprehensive catalog of solutions to solve the modern-day challenges PR and communications teams face. For 70 years, PR Newswire has been the preferred destination for brands to share their most important news stories across the world. For questions, contact the team at
Globe and Mail
06-03-2025
- Business
- Globe and Mail
MulticoreWare to Showcase with AMD an AI-Driven Smart Checkout for the Retail Market at Embedded World
SAN JOSE, Calif. , /CNW/ -- MulticoreWare, Inc., a global technology company providing software solutions and engineering services, has collaborated with AMD to develop an AI-powered smart self-checkout system for smarter retail. This innovative solution enhances both retailer security and customer shopping experience through Gen AI and Computer Vision based automation. The solution operates multiple AI models simultaneously, optimally utilizing embedded processor cores such as CPU, GPU and NPU available on AMD Ryzen™ Embedded 8000 Series processors, the first AMD embedded devices to integrate NPUs alongside traditional CPU and GPU elements. This advanced technology enhances self-checkout systems for smart retail by utilizing AI and computer vision. It enables accurate product identification through object detection, product verification, and barcode scanning. Additionally, the system includes AI-powered shoplifting detection, offering real-time monitoring of suspicious customer behaviour and LLM-driven instant alerts to notify store staff of potential theft. Through its collaboration with AMD, MulticoreWare harnesses the power of the AMD Ryzen Embedded 8000 processor (Mini PC 4X4) – a high-performance, compact computing platform – to optimize checkout operations, detect customer behaviour anomalies, and create a secure, AI-driven shopping ecosystem. Raj Gupta, VP & GM, Smart Health, Smart Cities, Industry 4.0 BU at MulticoreWare, said,"We are excited to be working closely with AMD in driving the future of AI-powered smart retail. Together, we are demonstrating how edge processing enables real-time AI-inferencing for smarter, faster, and low-latency retail automation. This relationship paves the way for cutting-edge innovations that will transform smart retail experiences globally." Yingyu Xia , Vision Lead, Industrial, Vision, Healthcare & Sciences Market, AMD, said, "The retail industry is evolving with AI to solve unmet challenges such as increasing store revenue, reducing worker fatigue, and enhancing customer experience. MulitcoreWare was able to leverage the multiple compute engines from AMD Ryzen Embedded 8000 processors to assign multi-AI models efficiently, processing multi-sensor data in real-time, all in one chip, to deliver a streamlined and cost-effective solution for the retail market." MulticoreWare excels in smart retail solutions by leveraging AR, data analytics, and real-time tracking to create personalized shopping experiences, reduce theft and optimize inventory management. Their solutions enable dynamic pricing, automated checkouts to reduce wait times, and enhanced in-store security through RFID and camera systems. About MulticoreWare MulticoreWare delivers software IP Solutions and Engineering Services serving a wide group of customers with solutions like Hardware Platform Compilers & Toolchains, SDK Libraries, Video codecs, and Algorithm & Data Engineering using vision & non-vision sensors (Radar, LiDAR, IMU, GPS). MulticoreWare's solutions are used in Automotive (ADAS/AD), Surveillance, Defence, Smart Health, IoT, Industrial, Robotics, Smart Cities. Their industry-leading video codec products (x266/x265/Ultraziq) are used in live streaming or VOD services across many broadcast customers. AMD, Ryzen, and combinations thereof are registered trademarks of Advanced Micro Devices, Inc.
Yahoo
06-03-2025
- Business
- Yahoo
MulticoreWare to Showcase with AMD an AI-Driven Smart Checkout for the Retail Market at Embedded World
SAN JOSE, Calif., March 6, 2025 /CNW/ -- MulticoreWare, Inc., a global technology company providing software solutions and engineering services, has collaborated with AMD to develop an AI-powered smart self-checkout system for smarter retail. This innovative solution enhances both retailer security and customer shopping experience through Gen AI and Computer Vision based automation. The solution operates multiple AI models simultaneously, optimally utilizing embedded processor cores such as CPU, GPU and NPU available on AMD Ryzen™ Embedded 8000 Series processors, the first AMD embedded devices to integrate NPUs alongside traditional CPU and GPU elements. This advanced technology enhances self-checkout systems for smart retail by utilizing AI and computer vision. It enables accurate product identification through object detection, product verification, and barcode scanning. Additionally, the system includes AI-powered shoplifting detection, offering real-time monitoring of suspicious customer behaviour and LLM-driven instant alerts to notify store staff of potential theft. Through its collaboration with AMD, MulticoreWare harnesses the power of the AMD Ryzen Embedded 8000 processor (Mini PC 4X4) – a high-performance, compact computing platform – to optimize checkout operations, detect customer behaviour anomalies, and create a secure, AI-driven shopping ecosystem. Raj Gupta, VP & GM, Smart Health, Smart Cities, Industry 4.0 BU at MulticoreWare, said, "We are excited to be working closely with AMD in driving the future of AI-powered smart retail. Together, we are demonstrating how edge processing enables real-time AI-inferencing for smarter, faster, and low-latency retail automation. This relationship paves the way for cutting-edge innovations that will transform smart retail experiences globally." Yingyu Xia, Vision Lead, Industrial, Vision, Healthcare & Sciences Market, AMD, said, "The retail industry is evolving with AI to solve unmet challenges such as increasing store revenue, reducing worker fatigue, and enhancing customer experience. MulitcoreWare was able to leverage the multiple compute engines from AMD Ryzen Embedded 8000 processors to assign multi-AI models efficiently, processing multi-sensor data in real-time, all in one chip, to deliver a streamlined and cost-effective solution for the retail market." MulticoreWare excels in smart retail solutions by leveraging AR, data analytics, and real-time tracking to create personalized shopping experiences, reduce theft and optimize inventory management. Their solutions enable dynamic pricing, automated checkouts to reduce wait times, and enhanced in-store security through RFID and camera systems. About MulticoreWare MulticoreWare delivers software IP Solutions and Engineering Services serving a wide group of customers with solutions like Hardware Platform Compilers & Toolchains, SDK Libraries, Video codecs, and Algorithm & Data Engineering using vision & non-vision sensors (Radar, LiDAR, IMU, GPS). MulticoreWare's solutions are used in Automotive (ADAS/AD), Surveillance, Defence, Smart Health, IoT, Industrial, Robotics, Smart Cities. Their industry-leading video codec products (x266/x265/Ultraziq) are used in live streaming or VOD services across many broadcast customers. AMD, Ryzen, and combinations thereof are registered trademarks of Advanced Micro Devices, Inc. Media Contact:Suchithra Thyagarajan,marcom@ Logo: View original content: SOURCE MulticoreWare Inc. View original content: Sign in to access your portfolio
Yahoo
23-02-2025
- Health
- Yahoo
Older AI models show signs of cognitive decline, study shows — but not everyone is entirely convinced
When you buy through links on our articles, Future and its syndication partners may earn a commission. People increasingly rely on artificial intelligence (AI) for medical diagnoses because of how quickly and efficiently these tools can spot anomalies and warning signs in medical histories, X-rays and other datasets before they become obvious to the naked eye. But a new study published Dec. 20, 2024 in the BMJ raises concerns that AI technologies like large language models (LLMs) and chatbots, like people, show signs of deteriorated cognitive abilities with age. "These findings challenge the assumption that artificial intelligence will soon replace human doctors," the study's authors wrote in the paper, "as the cognitive impairment evident in leading chatbots may affect their reliability in medical diagnostics and undermine patients' confidence." Scientists tested publicly available LLM-driven chatbots including OpenAI's ChatGPT, Anthropic's Sonnet and Alphabet's Gemini using the Montreal Cognitive Assessment (MoCA) test — a series of tasks neurologists use to test abilities in attention, memory, language, spatial skills and executive mental function. Related: ChatGPT is truly awful at diagnosing medical conditions MoCA is most commonly used to assess or test for the onset of cognitive impairment in conditions like Alzheimer's disease or dementia. Subjects are given tasks like drawing a specific time on a clock face, starting at 100 and repeatedly subtracting seven, remembering as many words as possible from a spoken list, and so on. In humans, 26 out of 30 is considered a passing score (i.e. the subject has no cognitive impairment). While some aspects of testing like naming, attention, language and abstraction were seemingly easy for most of the LLMs used, they all performed poorly in visual/spatial skills and executive tasks, with several doing worse than others in areas like delayed recall. Crucially, while the most recent version of ChatGPT (version 4) scored the highest (26 out of 30), the older Gemini 1.0 LLM scored only 16 — leading to the conclusion older LLMs show signs of cognitive decline. The study's authors note that their findings are observational only — critical differences between the ways in which AI and the human mind work means the experiment cannot constitute a direct comparison. But they caution it might point to what they call a "significant area of weakness" that could put the brakes on the deployment of AI in clinical medicine. Specifically, they argued against using AI in tasks requiring visual abstraction and executive function. Other scientists have been left unconvinced about the study and its findings, going so far as to critisize the methods and the framing — in which the study's authors are accused of anthropomorphizing AI by projecting human conditions onto it. There is also criticism of the use of MoCA. This was a test examined purely for use in humans, it is suggested, and would not render meaningful results if applied to other forms of intelligence. "The MoCA was designed to assess human cognition, including visuospatial reasoning and self-orientation — faculties that do not align with the text-based architecture of LLMs," wrote Aya Awwad, research fellow at Mass General Hospital in Boston on Jan. 2, in a letter in response to the study. "One might reasonably ask: Why evaluate LLMs on these metrics at all? Their deficiencies in these areas are irrelevant to the roles they might fulfill in clinical settings — primarily tasks involving text processing, summarizing complex medical literature, and offering decision support." RELATED STORIES —Scientists create 'toxic AI' that is rewarded for thinking up the worst possible questions we could imagine —Want to ask ChatGPT about your kid's symptoms? Think again — it's right only 17% of the time —Just 2 hours is all it takes for AI agents to replicate your personality with 85% accuracy Another major limitation lies in the failure to conduct the test on AI models more than once over time, to measure how cognitive function changes. Testing models after significant updates would be more instructive and align with the article's hypothesis much better, wrote CEO of EMR Data Cloud, Aaron Sterling, and Roxana Daneshjou, assistant professor of biomedical sciences at Stanford, Jan. 13 in a letter. Responding to the discussion, lead author of the study Roy Dayan, a doctor of medicine at the Hadassah Medica Center in Jerusalem, commented that many of the responses to the study have taken the framing too literally. Because the study was published in the Christmas edition of the BMJ, they used humor to present the findings of the study — including the pun "Age Against the Machine" — but intended the study to be considered seriously. "We also hoped to cast a critical lens at recent research at the intersection of medicine and AI, some of which posits LLMs as fully-fledged substitutes for human physicians," wrote Dayan Jan. 10 in a letter in response to the study. "By administering the standard tests used to assess human cognitive impairment, we tried to draw out the ways in which human cognition differs from how LLMs process and respond to information. This is also why we queried them as we would query humans, rather than via "state-of-the-art prompting techniques", as Dr Awwad suggests."
