“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

No device is an island: Your daily computational needs depend on more than just the microprocessors inside your computer or phone. Our modern world relies on “distributed computing,” which shares the ...

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 ...

Almost 20 years ago, faculty in the chemistry department of Stanford University launched a distributed computing project called Folding@Home (F@H). They sought to understand how proteins self-organize ...

The open source AI ecosystem took a decisive leap forward today as the PyTorch Foundation announced that Ray, the distributed computing framework originally developed by Anyscale, has officially ...

For self-driving cars and other applications developed using AI, you need what’s known as “deep learning”, the core concepts of which emerged in the ’50s. This requires training models based on ...

Is it better to be as accurate as possible in machine learning, however long it takes, or pretty darned accurate in a really short amount of time? For DeepMind researchers Peter Buchlovsky and ...