It must be tough for the hyperscalers that are expanding into public cloud and the public cloud builders that also use their datacenters to run their own businesses to decide whether to hoard all of the new technologies that they can get their hands on for their own benefit, or to make money selling that capacity to others. …
In an age of ongoing digital advancement, leaders across all industries are seeking new ways to improve workplace productivity, ensure competitive advantage, and facilitate continued growth. …
According to a recent Jefferies report, the fourth wave of computing has started and it is being driven by the adoption of IoT with parallel processing as the solution. …
Having been at the forefront of machine learning since the 1980s when I was a staff scientist in the Theoretical Division at Los Alamos performing basic research on machine learning (and later applying it in many areas including co-founding a machine-learning based drug discovery company), I was lucky enough to participate in the creation and subsequently to observe first-hand the process by which the field of machine-learning grew to become a ‘bandwagon’ that eventually imploded due to misconceptions about the technology and what it could accomplish. …
Based on datacenter practices of the past two decades, it is a matter of faith that it is always better to run a large number of applications on a given set of generic infrastructure than it is to have highly tuned machines running specific workloads. …
There is a lot of change coming down the pike in the high performance computing arena, but it has not happened as yet and that is reflected in the current Top 500 rankings of supercomputers in the world. …
The science fiction of a generation ago predicted a future in which humans were replaced by the reasoning might of a supercomputer. …
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. …
If there is anything that chip giant Intel has learned over the past two decades as it has gradually climbed to dominance in processing in the datacenter, it is ironically that one size most definitely does not fit all. …
We have been convinced for many years that machine learning, the kind of artificial intelligence that actually works in practice, not in theory, would be a key element of the next platform. …
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