China’s researchers have built an optical interconnect system that dramatically speeds up distributed AI ...

One of the most difficult problems with quantum computing relates to increasing the size of the quantum computer. Researchers globally are seeking to solve this "challenge of scale." To bring quantum ...

As artificial intelligence continues its rapid expansion, the industry's greatest challenge is no longer building more capable models—it is building the infrastructure required to run them efficiently ...

Previous year i.e., 2023 has clearly been a standout year in terms of advancements in field of AI domain. Traditionally it’s always been felt that to get the most out of AI one need a strong ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

Distributed computing erupted onto the scene in 1999 with the release of SETI@home, a nifty program and screensaver (back when people still used those) that sifted through radio telescope signals for ...

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I work with simulation and modeling and sometimes we have to run large tasks that would take days to complete on a single computer. Currently our method of dealing with these is to break up job into ...