AI tasks that work well with reinforcement learning are getting better fast — and threatening to leave the rest of the ...
Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...
A (NRL) research team successfully conducted the first reinforcement learning (RL) control of a free-flyer in space on May 27 ...
Thinking Machines has released Tinker, an API for fine-tuning open-weight language models. The service is designed to reduce ...
Recently, we interviewed Long Ouyang and Ryan Lowe, research scientists at OpenAI. As the creators of InstructGPT – one of the first major applications of reinforcement learning with human feedback ...
LIVINGSTON, N.J. & BELLEVUE, Wash., September 03, 2025--(BUSINESS WIRE)--CoreWeave, Inc. (NASDAQ: CRWV), the AI Hyperscaler™, today announced a definitive agreement to acquire OpenPipe Inc, a leading ...
The strategy uses Amazon’s own internal systems as reinforcement learning gyms to accelerate the development of its Nova models and enterprise AI tools. Read More Subscribe to GeekWire's free ...
Precise heating, ventilation, and air conditioning (HVAC) control is important for energy savings in residential buildings.
Supervised ML trains algorithms using labeled data to predict outputs from inputs. It helps in various industries like finance and healthcare by improving decision accuracy. Investors can gauge ...
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