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 ...
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.
Ad Context Protocol (AdCP) is being sold as a magic bullet. But let’s be honest: Your first AdCP project is probably going to fail. It won’t fail because the protocol is bad; it will fail because ...
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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 ...
A recent report from Saritasa found that 62% of American companies are running outdated software. About 43% of those surveyed said legacy code represents a major risk. In banking and finance, for ...
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 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The precision of atmospheric probe data acquisition is vulnerable to temperature ...
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 ...