
Stanford Brainstorm Chip to Hints at Neuromorphic Computing Future
If the name Kwabena Boahen sounds familiar, you might remember silicon that emerged in the late 1990s that emulated the human retina. …
If the name Kwabena Boahen sounds familiar, you might remember silicon that emerged in the late 1990s that emulated the human retina. …
Much of the talk around artificial intelligence these days focuses on software efforts – various algorithms and neural networks – and such hardware devices as custom ASICs for those neural networks and chips like GPUs and FPGAs that can help the development of reprogrammable systems. …
Like all hardware device makers eager to meet the newest market opportunity, Intel is placing multiple bets on the future of machine learning hardware. …
Just a few years ago, the promise of ultra-low power, high performance computing was tied to the rather futuristic-sounding vision of a “brain chip” or neuromorphic processor, which could mimic the brain’s structure and processing ability in silicon—quickly learning and chewing on data as fast as it could be generated. …
Not so many years ago, the promise of neuromorphic processors as the key to ultra-efficient computing was being touted, especially following work between DARPA and IBM on new chips that emulated the synaptic system of the human brain. …
The International Super Computing 2025 conference is going on this week in Hamburg, Germany and is celebrating its 40th anniversary. …
It has been two and a half decades since we have seen a rapidly expanding universe of a new kind of compute that rivals the current generative AI boom. …
If quantum computers are going to become a commercial thing sometime down the road – and there’s a lot of money and time going into the effort to make them viable for use by HPC organizations and enterprises – it’s increasingly likely that it will be in combination with classical computers. …
When it comes to chips, there is a big difference between a kicker and a fork. …
Exascale supercomputing is just as important to Europe as it is to the United States and China, but each of these geopolitical regions on Earth has its own way of developing architectures, funding their development and production, and figuring out where the best HPC centers are to host such machines to maximize their effectiveness. …
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