eWeek5 天
Nanosecond Neural Networks: MIT’s Photonic Chip Approach to Hyper-Efficient AI Computation
New photonic chip technology processes deep neural networks using light, achieving 96% accuracy during training with minimal ...
MIT Technology Review4 天
The next generation of neural networks could live in hardware
Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ ...
New physics sim trains robots 430,000 times faster than reality
On Thursday, a large group of university and private industry researchers unveiled Genesis, a new open source computer ...
ExtremeTech on MSN21 天
MIT Creates Neural Network Processor Based on Light
In 2017, MIT researchers succeeded in creating a chip that can run neural network calculations, but there were some notable ...
Tech Xplore on MSN6 天
Circumventing a long-time frustration in neural computing
The human brain begins learning through spontaneous random activities even before it receives sensory information from the ...
Light-Speed AI: MIT’s Ultrafast Photonic Processor Delivers Extreme Efficiency
A new photonic chip designed by MIT scientists performs all deep neural network computations optically, achieving tasks in ...
Neural networks unlock potential of high-entropy carbonitrides in extreme environments
The melting point is one of the most important measurements of material properties, which informs potential applications of ...
HowToGeek on MSN6 天
AI Image Generators Explained: How They Work and What They Can Do
Generative AI image generators use a special type of neural network to learn from these data, and when you reverse the ...