AI

Sagence AI has emerged from stealth mode with a bold mission: to revolutionize the economic and environmental sustainability of AI inference hardware. The company’s groundbreaking analog in-memory compute architecture offers a solution to…

AI training consumes substantial energy, and up to 30% of it is wasted due to inefficient processing. Much of this waste occurs when large tasks are split across multiple GPUs (specialized processors). Since AI models today are too large…

Adam Zewe | MIT News November 5, 2024 Large language models can do impressive things, like write poetry or generate viable computer programs, even though these models are trained to predict words that come next in a piece of…

Dealing with variables is no small feat, especially in complex systems where many variables converge. MIT engineers are on it. They developed an algorithm to identify variables that likely influence other variables in a complex system. The…

November 4, 2024 Mouser Electronics, Inc., the authorized global distributor with the newest electronic components and industrial automation products, is now stocking the STM32MP25 microprocessors (MPU) from STMicroelectronics. The…

Photonic memory development for AI processing has been problematic. It gains speed by sacrificing energy usage. For the first time, however, an international team of electrical engineers developed a new method for photonic in-memory…

Meet STAR1, a bipedal robot from Robot Era in China. The robot measures 5 feet 7 inches and weighs in at 143 lbs. Oh, and it can run over 8 mph, so it’s the fastest in its class to date. It’s secret? A pair of sneakers and a little bit of…

Adam Zewe | MIT News October 28, 2024 In the classic cartoon “The Jetsons,” Rosie the robotic maid seamlessly switches from vacuuming the house to cooking dinner to taking out the trash. But in real life, training a…

Penn Engineers created a new algorithm allowing robots to react to complex physical contact in real-time, enabling autonomous robots to succeed at previously impossible tasks. Known as "consensus complementarity control" (C3), the algorithm…

The U.S. Department of Energy (DOE) just awarded nearly $975,000 to Charles Paillard, a University of Arkansas research professor of physics and director of the Smart Ferroic Materials Center, to study aluminum scandium nitride at the…