Among those interviewed, one RL environment founder said, “I’ve seen $200 to $2,000 mostly. $20k per task would be rare but ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Think of a person who had a really positive impact on you when you were learning a new skill. Were they stern and aggressive, ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Innodata is soaring today following news of a major upgrade from Wall Street.

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...