Mornine, AiMOGA’s humanoid robot, autonomously opens a car door at a Chery dealership, showcasing real-world embodied AI in ...

Modern communication systems, including 5G, IoT, and satellite networks, are driving a sharp rise in global energy consumption. As sustainability becomes a ...

While reinforcement learning (RL) offers a promising alternative, ensuring safety remains a major challenge for real-world deployment. In this letter, we introduce safe RL into autonomous racing to ...

Investigation of value based Reinforcement Learning algorithms exhibited a resurgence into mainstream research in 2015 following demonstration of super-human performance when applied to Atari 2600 ...

Dickinson presents its portfolio of “metamaterials,” looking to collaborate with industry partners to demonstrate their ...

Ever since researchers began noticing a slowdown in improvements to large language models using traditional training methods, ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do (imitation). But as the worker gains more experience, learning shifts to ...

During the summer, kids can forget some of what they learned during the school year. They recover quickly, but here are some tips to stem the slide ...

Want to Get Smarter? Neuroscience Says 5 Simple Steps Significantly Boost Memory, Learning, and Cognition Learn more quickly and retain more? Here’s how, in just minutes.

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.

Reinforcement Pre-Training (RPT) is a new method for training large language models (LLMs) by reframing the standard task of predicting the next token in a sequence as a reasoning problem solved using ...

Foundational learning, which includes basic literacy, numeracy, and socio-emotional skills, is the foundation for a life of learning. They also foster social and emotional growth, cognitive ...