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 ...
MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011 , discusses integrated photonic synapses, neurons, memristors, and ...
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 ...
The report didn’t specify the valuation that FuriosaAI is expected to receive. The company was worth $735 million as of July, ...
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 ...
Neurophos is developing a massive optical systolic array clocked at 56GHz good for 470 petaFLOPS of FP4 compute As Moore's ...
Interesting Engineering on MSN
MIT’s new heat-powered silicon chips achieve 99% accuracy in math calculations
Scientists in the US have created a tiny silicon chip that can perform mathematical ...
Turn one idea into 50 pieces of content using AI. Extract key points, create format matrices, generate variations, build series, and multiply fast.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results