- Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds. [MIT] https://news.mit.edu/2022/analog-deep-learning-ai-computing-0728 9 comments artificial
- New hardware offers faster computation for artificial intelligence, with much less energy https://news.mit.edu/2022/analog-deep-learning-ai-computing-0728 44 comments science
Linking pages
- MIT Researchers Create Artificial Synapses 10,000x Faster Than Biological Ones https://singularityhub.com/2022/08/01/mit-researchers-created-artificial-synapses-10000x-faster-than-biological-ones/ 104 comments
- MIT Claims New Artificial Neuron 1 Million Times Faster Than the Real Thing https://futurism.com/the-byte/mit-claims-artificial-neuron-1-million-times-faster-real-thing 4 comments
- "Protonic" artificial synapse runs a million times faster than human ones https://newatlas.com/computers/protonic-artificial-synapse-resistor/ 4 comments
- MIT Researchers, Working On Analog Deep Learning, Introduce A New Hardware Powered By Ultra-Fast Protonics And With Much Less Energy - MarkTechPost https://www.marktechpost.com/2022/07/31/mit-researchers-working-on-analog-deep-learning-introduce-a-new-hardware-powered-by-ultra-fast-protonics-and-with-much-less-energy/ 0 comments
- Hardware Acceleration in Robotics #22 https://news.accelerationrobotics.com/hardware-acceleration-in-robotics-22/ 0 comments