Abstract: Existing works on multi-agent time-varying optimization allow agents to asynchronously communicate and/or compute, but do not allow asynchronous sampling of objectives. Sampling can be ...
Programming efficient asynchronous systems is challenging because it can often be hard to express the design declaratively, or to defend against interleaving-dependent bugs such as data races and ...
In this Review Article, the authors survey the literature describing how correlated dynamical states relate to various cognitive states, including anesthesia and sleep. While the topic is significant ...
Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products. I share my insights here.) Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products.
Meta’s ARE + Gaia2 Set a New Bar for AI Agent Evaluation under Asynchronous, Event-Driven Conditions
Why move from sequential to asynchronous interaction? Most prior agent benchmarks pause the world while the model “thinks.” ARE decouples agent and environment time: the environment evolves while the ...
In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...
Washington Examiner Senior Writer Joe Concha called on CBS News to release the transcript of a 2023 60 Minutes interview with then-President Joe Biden. “Just as CBS did in resisting for so long to ...
Paramount+ is once again a real buyer following Skydance’s acquisition of the streamer’s parent Paramount Global. At a Los Angeles press event on Wednesday, new Paramount CEO David Ellison touted the ...
In the "Implement the APM pattern by using tasks" section of the "TPL and traditional .NET asynchronous programming" topic, it would be useful to mention the System.Threading.Tasks.TaskToAsyncResult ...
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