Amazon Web Services Inc. wants to solve the efficiency challenges of artificial intelligence agents and reduce their overall inference demands, and it’s tackling the problem with more advanced model ...
A new tool from Microsoft called Agent 365 is designed to help businesses control their growing collection of robotic helpers. Lamanna envisions a future where companies have many more agents ...
At Microsoft Ignite, currently taking place in San Francisco, Calif., the company rolled out its vision for the next phase of enterprise AI by centering on agents -- autonomous and semi-autonomous ...
Modern computing systems rely heavily on operating-system schedulers to allocate CPU time fairly and efficiently. Yet many of these schedulers operate blindly with respect to the meaning of workloads: ...
For years, Big Tech CEOs have touted visions of AI agents that can autonomously use software applications to complete tasks for people. But take today’s consumer AI agents out for a spin, whether it’s ...
Abstract: Efficient multi-agent path finding (MAPF) is essential for large-scale warehousing and logistics systems. Despite the potential of reinforcement learning (RL) methods, current approaches ...
The San Francisco 49ers were disappointing in 2024, finishing with a 6-11 record and in fourth place in the NFC West, as they dealt with poor performances, from both players and coaches, and injuries ...
Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Faculty of Science and Technology, Beijing Normal University-Hong Kong Baptist University United ...
“I learned long ago, never to wrestle with a pig. You get dirty, and besides, the pig likes it.” - George Bernard Shaw According to the standard definition, reinforcement in psychology is a ...
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