Businesses and government agencies are deploying AI at breakneck speeds. But in the rush to stay ahead, or at least not fall too far behind, organizations are having to confront some hard truths. …
The emergence of machine learning has forced computer architects to realize the way they’ve been developing hardware for the last 50 years will no longer suffice. …
According to the Centers for Disease Control and Prevention’s latest incidence data, cancer is the second leading cause of death in the United States, exceeded only by heart disease. …
Add to the list of AI chip startups some forthcoming new silicon based on the MiLDreD platform. …
The conversational AI created by IBM called Project Debater is designed to have a formal debate with a person. …
There is a rumor going around that a certain hyperscaler is going to be augmenting its GPU-based machine learning training and will be adopting Intel’s Nervana Neural Network Processor (NNP) for at least some of its workloads. …
At this point in the history of the IT business, it is a foregone conclusion that accelerated computing, perhaps in a more diverse manner than many of us anticipated, is the future both in the datacenter and at the edge. …
To understand how far natural language processing (NLP) has progressed in the past decade and how fast it is evolving now, we need to update Alan Turing’s thought experiment on how to test an AI for conversational intelligence to a 21st Century context and methodology. …
The hyperscalers and cloud builders of the world build things that often look and feel like supercomputers if you squint your eyes a little, but if you look closely, you can often see some pretty big differences. …
If we are talking about infrastructure it might seem obvious to take a systems-level view. …
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