The Silicon Photonics Key to Building Better Neural Networks
The commercial realization of artificial intelligence has companies scrambling to develop the next big hardware technology breakthrough for this multi-billion dollar market. …
The commercial realization of artificial intelligence has companies scrambling to develop the next big hardware technology breakthrough for this multi-billion dollar market. …
We have written much over the last few years about the convergence of deep learning and traditional supercomputing but as the two grow together, it is clear that the tools for one area don’t always mesh well with those of the other. …
The science fiction of a generation ago predicted a future in which humans were replaced by the reasoning might of a supercomputer. …
Explaining the process of how any of us might have arrived to a particular conclusion or decision by verbally detailing the variables, weights, and conditions that our brains navigate through to arrive at an answer can be complex enough. …
It has been clear for some time that Japan wants to have a certain amount of economic and technical independence when it comes to cloud computing in the Land of the Rising Sun. …
Investment in supercomputing and related HPC technologies is not just a sign of how much we are willing to bet on the future with someone else’s money, but how much we believe in it ourselves, and more importantly, how much we believe in the core idea that we can predict and therefore shape the future of the world. …
Since the advent of distributed computing, there has been a tension between the tight coherency of memory and its compute within a node – the base level of a unit of compute – and the looser coherency over the network across those nodes. …
Predicting the future is hard, even with supercomputers. And maybe specifically when you are talking about predicting the future of supercomputers. …
One of the first tenets of machine learning, which is a very precise kind of data analytics and statistical analysis, is that more data beats a better algorithm every time. …
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