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The past few years have seen a dramatic uptick in the development of new AI hardware.
IBM plans to make a 10-year, $240 million investment in new lab with MIT to advance AI hardware, software, and algorithms.
It is currently far behind the market leader for AI hardware, Nvidia, and faces competition from a host of chip-making upstarts.
The chips lag behind those offered by Nvidia and Qualcomm (both US companies) in terms of sophistication, but no other business can boast such a range of AI hardware.
Naveen Rao, the corporate vice president and general manager of the AI Products Group at Intel, also took the stage and likened the importance of the AI hardware evolution to the role that evolution played in biology.
The goal of our collaboration with IBM is to advance AI hardware, software, and algorithms related to deep learning and other areas; increase AI's impact on industries, such as health care and cybersecurity; and explore the economic and ethical implications of AI on society.
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Facebook recently announced its second generation of AI-hardware ("Big Basin") to power its own core services: speech and text translations, photo classifiers and real-time video classification.
COMMENT It ain't the hardware that counts nearly as much as the software.
(Notably, Google's parent company Alphabet has also offloaded some assets, such as its Boston Dynamics unit, which seems to imply that it is shifting away from AI-based hardware into more AI-based applications around software).
All this while AI's hardware cousins, robots, struggle to open a door or pick up an apple.
International, AI and hardware products were the emergent themes of the 52 companies that launched on Day 1.
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