Programmable Networks Train Neural Nets Faster
When it comes to machine learning training, people tend to focus on the compute. …
When it comes to machine learning training, people tend to focus on the compute. …
Even though graph analytics has not disappeared, especially in the select areas where this is the only efficient way to handle large-scale pattern matching and analysis, the attention has been largely silenced by the new wave machine learning and deep learning applications. …
It is estimated that each day over a million malicious files are created and kicked to every corner of the web. …
With so many chip startups targeting the future of deep learning training and inference, one might expect it would be far easier for tech giant Hewlett Packard Enterprise to buy versus build. …
IBM has spent the past several years putting a laser focus on what it calls cognitive computing, using its Watson platform as the foundation for its efforts in such emerging fields as artificial intelligence (AI) and is successful spinoff, deep learning. …
Propping up a successful silicon startup is no simple feat, but venture-backed Wave Computing has managed to hold its own in the small but critical AI training chip market–so far. …
One of the luckiest coincidences in the past decade has been that the hybrid machines designed for traditional HPC simulation and modeling workloads. …
When it comes to solving deep learning cluster and software stack problems at scale, few companies are riding the bleeding edge like Chinese search giant, Baidu. …
Machine learning is a rising star in the compute constellation, and for good reason. …
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