Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Abstract: Cooperative tasks are common in multi-agent systems, with closely cooperative tasks being a special case of this, where a change in the state of the environment requires multiple agents to ...
Download PDF Join the Discussion View in the ACM Digital Library Deep reinforcement learning (DRL) has elevated RL to complex environments by employing neural network representations of policies. 1 It ...
AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...
Large language models (LLMs) now stand at the center of countless AI breakthroughs—chatbots, coding assistants, question answering, creative writing, and much more. But despite their prowess, they ...
Welcome to the Braze Fiscal First Quarter 2026 Earnings Conference Call. My name is Luke, and I'll be your operator for today's call. [Operator Instructions] I'll now turn the call over to Christopher ...
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