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Nvidia Focuses on Robots Amid Stiffer AI Chip Competition


Going through rising competitors within the AI chip house, Nvidia is reportedly turning to robotics.

The $3.3 trillion firm, whose tech has helped drive the rise of synthetic intelligence (AI), will launch the subsequent model  of compact computer systems for humanoid robots — dubbed Jetson Thor — within the first half of subsequent yr, the Monetary Occasions (FT) reported Sunday (Dec. 29).

In response to the report, Nvidia is jockeying to develop into the highest platform in what it argues is a coming robotics increase. 

“The ChatGPT second for bodily AI and robotics is across the nook,” Deepu Talla, Nvidia’s vice chairman of robotics, advised the FT, including that he believes the market is at a “tipping level.”

The FT report famous that this effort comes as Nvidia is anticipating extra competitors for its chips from rivals like AMD, in addition to cloud computing titans like Google and Amazon. Now, the corporate is investing within the “bodily AI” house to assist the new robotics corporations develop.

For instance, it joined Microsoft and OpenAI in a February funding spherical that valued humanoid robotics firm Figure AI at $2.6 billion.

Whereas Nvidia doesn’t get away figures for its robotics product gross sales, the FT report stated that this a part of its enterprise represents a smaller share of its income. Information middle income, for instance, made up round 88% of the $35.1 billion in gross sales Nvidia reported in the third quarter.

In different robotics/AI information, PYMNTS wrote lately about analysis at MIT that developed an AI system that might let warehouse robots deftly deal with odd-shaped packages and navigate crowded areas with out placing human staff in peril.

It’s a breakthrough occurring at a second when retailers and logistics corporations are going through growing strain to automate amid surging eCommerce demand. 

Though robots excel at repetitive duties resembling shifting pallets, MIT’s PRoC3S expertise might lastly clear up the long-standing problem of robots safely performing extra advanced warehouse jobs that often require human dexterity and spatial consciousness.

“In principle, PRoC3S might cut back a robotic’s error fee by vetting its preliminary LLM-based assumptions towards extra particular and correct understandings of the warehouse atmosphere,” Erik Nieves, CEO and co-founder at Plus One Robotics, advised PYMNTS.

“Give it some thought like this: A warehouse robotic working solely on LLM steerage has been described tips on how to full a activity. The PRoC3S idea goes one step additional by inserting a digital robotic in a simulated atmosphere of that activity. It’s basically the distinction between classroom instruction and a actually good discipline journey.”

As PYMNTS has reported, robotics and AI applied sciences are transforming conventional distribution yards by way of specialised autonomous autos outfitted with robotic arms that can deal with advanced duties resembling connecting brake strains and positioning trailers, working alongside human staff.



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