IonQ’s roadmap: Quantum machine learning by 2023, broad quantum advantage by 2025

with the only major difference being the keyboard color.

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.

the weights have only a one or a zero.he knew that he had to go—with his boyfriend.

He mostly writes about same-sex marriage.and sometimes he shares his life in a rural island in Fujian Province.

Im the reporter who reports on myself.a gay KOL (key opinion leader) from China.