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It is seven times faster on AI tasks that involve sparse computation.

the mathematical method in LLMs that is the most compute-intensive part of training.Many approaches aim to reduce the memory and processing required for each neural weight.

AI could be personalized to your own actions as you walk around.Efforts are underway to make it possible to train a neural net -- even a large language model (LLM) -- on your personal device.QMULResearchers Chu Myaet Thwal and team at Kyung Hee University this month adapted a form of LLM used for image recognition across as many as 50 workstation computers.

 TinyTL has so far been used for small things.But the state of the art is now moving to tackling the LLMs of generative AI.

Ippei Naoi/Getty ImagesThe world of artificial intelligence (AI) mostly exists in cloud-computing facilities and rarely touches your smartphone.

 The impact of on-device training could be a transformation in the capabilities of neural networks.TechNodes Briefing newsletter delivers a roundup of the most important news in China tech.

Xiaohun has to put himself in the spotlight and often times shares his personal stories as a gay man.gay people didnt have their own platform.

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