
Starting Thinking About AI Workflows, Not Just AI Platforms
Hardware is the most tangible part of any system, and it is the aspect of the system that tends to get the most attention. …
Hardware is the most tangible part of any system, and it is the aspect of the system that tends to get the most attention. …
Field Programmable Gate Arrays (FPGAs) have notched some noticeable wins as a platform for machine learning, Microsoft’s embrace of the technology in Azure being the most notable example. …
Although artificial intelligence is relatively new to the HPC scene, it can arguably be cast as the quintessential high performance computing workload. …
By all accounts, artificial intelligence is still in its early days. …
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. …
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