Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Scientists at the University of Sharjah report that they have developed a new machine-learning system designed to overcome ...
Tech Xplore on MSN
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, ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...
AI may learn better when it’s allowed to talk to itself. Researchers showed that internal “mumbling,” combined with ...
AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.
Talking to oneself is a trait which feels inherently human. Our inner monologues help us organize our thoughts, make decisions, and understand our ...
Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.
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