NVIDIA Develops AI Virtual Meeting

NVIDIA Research used AI to dramatically reduce video call bandwidth while simultaneously improving quality, according to recent tech reports.

According to NVIDIA, the technology works by replacing traditional full video frames with neural data. Typically, video calls work by sending h.264 encoded frames to the recipient, and those frames are extremely data-heavy.

With AI assisted video calls, first, the sender sends a reference image of the caller. Then, instead of sending a stream of pixel-packed images, it sends specific reference points on the image around the eyes, nose, and mouth.

Also, NVIDIA can use this same method for character animations. Using different keypoints from the original feed, they can add clothing, hair, or even animate video game characters. On other hand, the new technology giving users more freedom when working remotely.

Later, NVIDIA announced, on Monday, its plans to build the UK’s fastest ”Cambridge-1” supercomputer with £40 million to help researchers solve pressing medical challenges, related to COVID-19.

According to NVIDIA , GSK and AstraZeneca, which are both involved in coronavirus vaccine research, will be two of the first pharmaceutical companies to harness the machine power. On other hand, the firm founder and CEO Jensen Huang in his GPU Technology Conference keynote, explained that tackling the world’s most pressing challenges in healthcare requires massively powerful computing resources to harness the Al capabilities .

It expected to come online by year end, the ”Cambridge-1” supercomputer will be an NVIDIA DGX SuperPOD™ system capable of delivering more than 400 petaflops of AI performance and 8 petaflops of Linpack performance, which would rank it No. 29 on the latest TOP500 list of the world’s most powerful supercomputers, Forbes reported.

Also, it will rank among the world’s top 3 most energy-efficient supercomputers on the current Green500 list.

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