If there was any question that machine learning would spawn chip designs aimed specifically at those applications, those doubts were laid to rest this year. The last 12 months have seen a veritable of explosion of silicon built for this new application space.
German-based startup DeepL has unveiled an AI-powered language translator that the company says outperforms the best available from some of the largest internet firms in the world.
Researchers using the Department of Energy’s Cori supercomputer have broken the 10-petaflop barrier on two separate deep learning applications, one of which attained a peak throughput of 15 petaflops.
IBM is teaming up with four research institutions in an effort to study the effects of the human microbiome on autoimmune diseases. The effort, known as the Microbiome Immunity Project, is purported to be the “largest study to date of the bacteria in the human microbiome.”
At the Hot Chips conference this week, Intel lifted the curtain a little higher on Knights Mill, a Xeon Phi processor tweaked for machine learning applications.
The National Science Foundation (NSF) is soliciting proposals from US universities to acquire a $60 million next-generation supercomputer two to three times as powerful as Blue Waters.
Melbourne’s Swinburne University is going to deploy its first petascale supercomputer, a Dell EMC machine that will be tasked to support cutting-edge astrophysics and other scientific research.
Flash storage specialist Nimbus Data has announced ExaDrive, an SSD that offers more capacity than any commercial hard disk drive (HDD) available today.
Oak Ridge National Laboratory has begun to install Summit, the IBM-NVIDIA-powered system that is likely to become the most powerful supercomputer in the world when completed.
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At the Hot Chips conference this week, Microsoft has revealed its latest deep learning acceleration platform, known as Project Brainwave, which the company claims can deliver “real-time AI.” The new platform uses Intel's latest Stratix 10 FPGAs.
While AI is poised to sweep through major sectors of the economy over the next decade, perhaps no industry should be more welcoming to this technology than that of healthcare. And given that the US is the most technologically advanced nation in the world, and the one with the most expensive healthcare, the country could end up being the proving ground for AI-powered medicine.
Microsoft has bought Cycle Computing, an established provider of cloud orchestration tools for high performance computing users. The acquisition offers the prospect of tighter integration between Microsoft Azure’s infrastructure and Cycle’s software, but suggests an uncertain future for the technology on Amazon Web Services (AWS) and Google’s cloud platform.
One of the biggest impediments to more widespread use of AI is the lack of developer expertise in machine learning software. Bonsai, a startup based in Berkeley, California, is looking to change that in a big way by offering a platform that abstracts away a lot of the low-level nuts and bolts that makes machine learning such a daunting challenge for businesses.