Archive: June 2022

Intel Participates in the 9th China International Import Expo, Showcasing Energy-Efficient Computing Advances to Support Green Development in the Era of AI Agents

June 25, 2022 | 智东西
Intel Participates in the 9th China International Import Expo, Showcasing Energy-Efficient Computing Advances to Support Green Development in the Era of AI Agents
Zhidx (WeChat public account: zhidxcom) Author | ZeR0 Editor | Moying Zhidx reported on Nov. 5 that the ninth China International Import Expo (CIIE) opened in Shanghai today. Intel, together with its ecosystem partners, showcased at the Technical Equipment Exhibition Areacomputing products spanning data centers, the network edge and intelligent terminals; an integrated solution combining green electricity, energy storage and computing capacity; Token-in-a-

You can now video call with Muse! Netizens are having fun: creating their own animated virtual avatars and letting AI characters role-play.

June 17, 2022 | 智东西
You can now video call with Muse! Netizens are having fun: creating their own animated virtual avatars and letting AI characters role-play.
Zhidx (WeChat official account: zhidxcom) Author | Sun Xiaowen Editor | Cheng Qian Zhidx reported on November 6 that Meta began opening its personal AI agent Muse’sreal-time voice and animated avatarfeatures to users in the United States early this morning. Users can create their own animated avatars for Muse and converse with them directly. The avatar changes its expressions and movements as the conversation progresses, much like being on a “video call.”

Emergent tool use from multi-agent interaction

June 7, 2022 | OpenAI News
Emergent tool use from multi-agent interaction
We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our environment supported. The self-supervised emergent complexity in this simple environment further suggests that multi-agent co-adaptation may one day produce extremely compl