Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Tech Xplore on MSN
Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Introduction: Picking Up the Quantum Thread In Part 1 of this two-part series, I confessed that this whole journey was ...
MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at ...
Neurophos is developing a massive optical systolic array clocked at 56GHz good for 470 petaFLOPS of FP4 compute As Moore's ...
Multi-agent systems are on the rise, taking us further toward a hybrid era in which every action, big or small, can trigger a ...
Muscular Dystrophy Association-led research collaboration with FSHD Society, LGMD2L Foundation, and Parent Project Muscular ...
Explores a six-level autonomy taxonomy for agentic AI, governance, and risk-aligned controls to safely deploy autonomous ...
“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...
Morning Overview on MSN
MIT’s heat-powered silicon chips hit 99% accuracy in math tests
Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results