MIT researchers have developed a groundbreaking AI hardware accelerator for wireless signal processing that operates at the speed of light, offering a 100x faster and more energy-efficient alternative to digital AI accelerators. This technology could revolutionize future 6G wireless applications and enable real-time AI inference for various high-performance computing tasks, from autonomous vehi...
NVIDIA releases Llama 3.3 Nemotron Super 49B V1 and Llama 3.1 Nemotron Nano 8B V1 on Amazon Bedrock Marketplace and SageMaker JumpStart for deploying generative AI models at scale with ease. NVIDIA NIM microservices on AWS enable seamless deployment of various generative AI models, including open source community models and custom ones, with industry-standard APIs and minimal code.
MIT professor Munther Dahleh created the Institute for Data, Systems and Society to address societal challenges using AI and data science. His book, “Data, Systems, and Society,” details the importance of interdisciplinary collaboration and the concept of "the triangle" in solving complex problems.
Generative AI is increasingly used to boost efficiency and innovation in various industries, but costs can escalate. Amazon Bedrock offers high-performing models and cost optimization techniques for building generative AI applications.
UK science and technology secretary Peter Kyle, a dyslexic who uses AI, advocates for AI to enhance education for dyslexic children. He emphasizes the need for AI to transform education and assess students' abilities for the future.
AI, like Anthropic's Claude, surprises skeptics with its usefulness in providing emotionally intelligent responses to personal dilemmas, making it a popular tool for various daily queries. Despite initial doubts, AI is now widely embraced for its versatile problem-solving capabilities, challenging preconceived notions about its limitations.
Apple's research paper challenges the capabilities of large language models, revealing their limitations in reasoning tasks. Gary Marcus's critical analysis exposes the overhyped abilities of AI models like ChatGPT and Claude.
MIT and IBM researchers improve LLMs for travel planning by combining them with algorithms and solvers to create user-friendly AI travel brokers. The new technique can identify constraints, propose alternatives, and help users develop realistic and logical travel plans efficiently.
Stability AI accused by Getty Images of training AI on copyrighted photos, sparking copyright case threat to generative AI industry. High court in London hears Getty's claims of copyright and trademark infringement against Stability AI for using its photography archives.
MIT researchers developed a machine learning-based adaptive control algorithm for autonomous drones to navigate unpredictable forces like gusty winds. The technique automatically chooses the best optimization algorithm to minimize trajectory tracking error by 50% in simulations, promising efficient parcel delivery and fire monitoring in challenging conditions.
Apple researchers discover limitations in advanced AI models, raising doubts about industry's pursuit of more powerful systems. Large reasoning models face accuracy collapse when dealing with complex problems, according to Apple's paper.
Coactive, founded by Cody Coleman ’13 and William Gaviria Rojas ’13, uses AI to analyze unstructured visual data for faster, better business decisions. The platform helps companies process images, audio, and video at scale, empowering humans to work more efficiently and solve new problems.
UK PM pledges funding for AI infrastructure at London Tech Week, announces AI training for all civil servants in England and Wales. Keir Starmer emphasizes tech's potential for a "better future" for children, as new AI tool is introduced to transform planning system.
Ohio State University to teach undergraduates responsible AI application, aiming to lead in future workforce. President Walter “Ted” Carter Jr. emphasizes preparing students for AI integration.
NVIDIA's Jensen Huang and U.K. PM Starmer kick off London Tech Week, signaling AI's integration into national policy and economy. The U.K. plans to invest £1 billion in AI research compute by 2030, showcasing a commitment to AI innovation and skills development.