Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...
New performance gains will not come from bigger models, but from better approaches. That shift should matter to every ...
Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...
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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, ...
Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...
Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.
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