Over the last few years we have detailed the explosion in new machine learning systems with the influx of novel architectures from deep learning chip startups to efforts from vendors and hyperscalers alike. …
Intel has moved a step closer to commercial neuromorphic computing with the development of a 64-chip system that provides eight million artificial neurons. …
The commercial realization of artificial intelligence has companies scrambling to develop the next big hardware technology breakthrough for this multi-billion dollar market. …
A major transformation is happening now as technological advancements and escalating volumes of diverse data drive change across all industries. …
Pankaj Goyal, VP, AI Business & Data Center Strategy, Hewlett Packard Enterprise
Deep learning is rapidly becoming one of the most sought-after fields in computer science. …
Few companies have provided better insight into how they think about new hardware for large-scale deep learning than Chinese search giant, Baidu. …
Processor makers are pushing down the precision for a range of new and forthcoming devices, driven by a need that balances accuracy with energy-efficient performance for an emerging set of workloads. …
We have written much about large-scale deep learning implementations over the last couple of years, but one question that is being posed with increasing frequency is how these workloads (training in particular) will scale to many nodes. …
When it comes to deep learning innovation on the hardware front, few other research centers have been as forthcoming with their results as Baidu. …
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