Inside Intel’s Strategy to Integrate Nervana Deep Learning Assets
There is little doubt that 2017 will be a dense year for deep learning. …
There is little doubt that 2017 will be a dense year for deep learning. …
In the course of this three-part series on the challenges and opportunities for enterprise machine learning, we have worked to define the landscape and ecosystem for these workloads in large-scale business settings and have taken an in-depth look at some of the roadblocks on the path to more mainstream machine learning applications. …
In part one of this series last week, we discussed the emerging ecosystem of machine learning applications and what promise those portend. …
Earlier this month, Samsung acquired Viv, the AI platform built by the creators of Siri that seeks to “open up the world of AI assistants to all developers. …
For a topic that generates so much interest, it is surprisingly difficult to find a concise definition of machine learning that satisfies everyone. …
The computing industry is facing a number of challenges as Moore’s Law improvements in circuitry slow down, and they don’t all have to do with transistor counts and memory bandwidth and such. …
It is not news that offloading work from CPUs to GPUs can grant radical speedups, but what can come as a surprise is that scaling of these workloads doesn’t change just because they run faster. …
Todd Mostak, the creator of the MapD GPU-accelerated database and visualization system, made that database because he was a frustrated user of other database technologies, and as a user, he is adamant that accelerating databases and making visualization of queried data is about more than just being a speed freak. …
When it comes to deep learning innovation on the hardware front, few other research centers have been as forthcoming with their results as Baidu. …
What is good for the simulation and the machine learning is, as it turns out, also good for the database. …
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