It is common knowledge in the manufacturing sector of the economy that many of the companies that should have deployed HPC simulation and modeling applications one or two decades ago to help with product design, among other tasks, did not do so. …
There are many things the U.S. government can do, but innovating at a rapid pace in the ever-evolving world of artificial intelligence is not necessarily one of them. …
One reason we’re watching Lawrence Livermore National Lab closely is because they are at the forefront when it comes to blending emerging HPC, deep learning, and edge technologies for applications that are representative of what’s next. …
Artificial intelligence is a broad area, covering diverse fields such as image recognition, natural language processing (NLP), and robotics. …
Over the last few years the idea of “conditional computation” has been key to making neural network processing more efficient, even though much of the hardware ecosystem has focused on general purpose approaches that rely on matrix math operations that brute force the problem instead of selectively operate on only the required pieces. …
If it wasn’t bad enough that Moore’s Law improvements in the density and cost of transistors is slowing. …
UPDATE: Due to the inability to travel we will be hosting this remotely on June 25, 2020. …
It is rare to find a story here at The Next Platform that does not focus on systems for large-scale use cases. …
The Next AI Platform is going virtual for 2020.
This was, of course, not the plan. …
Neuromorphic computing has garnered a lot of attention over the past few years, largely driven by its potential to deliver low-power artificial intelligence to the masses. …
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