Gamalon Inc, emerged from stealth mode this week, announced two machine learning products, based on an in-house technology known as Bayesian Program Synthesis (BPS). The company claims BPS can perform machine learning tasks 100 times faster than conventional deep learning techniques, while providing more accurate results.
Exabyte, a materials discovery cloud specialist, has published a study that compares Linpack performance on four of the largest public cloud providers. Although the study’s methodology had some drawbacks, the results suggested that with the right hardware, HPC applications could not only scale well in cloud environments, but could also deliver performance on par with that of conventional supercomputers.
Thanks to a record fourth quarter, Cray posted a modest profit in 2016, representing its seventh straight year of profitability. The company also recorded its second highest annual revenue in its history. Unfortunately though, Cray finds itself in the midst of a lethargic supercomputing market, which has shown few signs of improving.
In an unusual spectacle that injected politics into what would have been a fairly typical announcement of a new semiconductor manufacturing facility, Intel CEO Brian Krzanich announced the company’s upcoming 7nm fab in the Oval Office as part of a nationally televised meeting with President Trump.
While US-based firms such as Google, Facebook and Microsoft still dominate the artificial intelligence space, Chinese counterparts like Baidu, Tencent, and Alibaba are quickly catching up, and in some cases, surpassing their US competition. As a consequence, China appears to be on a path to reproduce its success in supercomputing in AI.