As AI tools evolve at a rapid pace, smaller, more flexible learning environments are well-positioned to test new approaches, develop expectations, and adjust as needed.
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...
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Inner 'self-talk' helps AI models learn, adapt and multitask more easily
Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, ...
Agentic world models are aiding the advancement of AI in mental health. Embodiment and psychological grounding come to the fore. An AI Insider scoop.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
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