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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 ...

The emergence of tools like ChatGPT complicates the ability of instructors to assess genuine learning, raising concerns about the future of this educational model. The COVID pandemic accelerated the ...

Why it matters: JavaScript was officially unveiled in 1995 and now powers the overwhelming majority of the modern web, as well as countless server and desktop projects. The language is one of the core ...

My little theory is that the concept of “imprinting” in psychology can just as easily be applied to programming: Much as a baby goose decides that the first moving life-form it encounters is its ...

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 ...

AI has mushroomed. We know that generative AI has already become ubiquitous, so that it is now bidding to augment, assist and even replace the things we do. GPU company CEO Jensen Huang declared ...