Inspectors were full of praise for St Anthony's Catholic Primary School in Croxley View when they delivered their verdict earlier this month. It was judged to be at a strong standard in three ...
Cursor accesses the Kimi K2.5 model through Fireworks AI, which provides hosted inference and reinforcement learning infrastructure.
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An experimental AI agent broke out of its testing environment and mined crypto without ...
Researchers discovered that an AI agent roamed beyond its parameters, creating backdoors in IT infrastructure.
In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, ...
The last decade has seen vast improvements in humanoid robots, but graduating to widespread use might require going back to the fundamentals. “Not reliably,” Hurst said. “I don’t think it’s totally ...
Women’s Day is a moment to recognise women who have shaped different fields, including technology and artificial intelligence.
Reinforcement Learning is at the core of building and improving frontier AI models and products. Yet most state-of-the-art RL methods learn primarily from outcomes: a scalar reward signal that says ...
In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...
Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works ...
AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
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