Most of the large companies and institutions we cover here at The Next Platform have already been in the AI/ML trenches, particularly the hyperscale web and media companies (where much of this work began) and in high performance computing. …
LG Electronics plans to explore quantum applications with IBM in the coming years with emphasis on areas as diverse as AI, IoT, robotics, and analytics on the table for potential quantum speedups. …
Ask any quantum computing startup (and there are too many count) about the rate of enterprise adoption for the emerging technology and the response will be quick: Fortune 500s are all investing heavily. …
When Tim Sears ran complex portfolio risk analysis on Wall Street in 2004, an eight-hour, overnight run was the best that could be expected, even on high-end hardware. …
There are good reasons for the persistence of C, C++ and Fortran in high performance computing, even with some the inherent productivity challenges (extensive memory management and debugging in particular). …
One could argue that the last few years have highlighted some of the most pressing semiconductor industry issues but there are challenges on the horizon well beyond current supply chain and silicon manufacturing bottlenecks. …
While the U.S., China, Japan and other countries have laid out, or even achieved, exascale supercomputing goals, the European continent has been less clear on its own path. …
Stretching the trajectory of Moore’s Law takes quite a bit more than finding new ways to fit more transistors on future devices. …
Fannie Mae is one of the largest financial institutions in the world with $4.2 trillion in mortgage volume. …
It has taken well over a decade, but the momentum toward entirely cloud-based global capital markets is gaining force. …
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