Our findings suggest that people who are already doing extremely well—like professional mathematicians or a mental calculation world champion—do not benefit from tRNS. In contrast, those who are below ...

Nano-learning refers to a learning strategy that delivers content in small, easily digestible chunks that can be understood in a short amount of time. This approach contrasts with traditional learning ...

Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far due to the computational ...

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Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Teachers model flexibility by encouraging experimentation and normalising the idea that learning doesn’t always follow a straight line. Their feedback nudges students to rethink approaches, revise ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

A professor testing ChatGPT’s, DeepSeek’s and Grok’s stock-picking skills suggests stockbrokers should worry Alejandro Lopez-Lira has been impressed with how current AI models can trade markets ...