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 ...
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 ...
Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...
Wayve has launched GAIA-3, a generative foundation model for stress testing autonomous driving models. Aniruddha Kembhavi, Director of Science Strategy at Wayve, explains how this could advance ...
Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
Lemon Learning announces its acquisition of Aidaxis to expand desktop application coverage and strengthen its leadership in ...
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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