Quadrupedal robots are becoming a familiar sight, but engineers are still working out the full capabilities of these machines. Now, a group of researchers from MIT ...

Formless 'slime' robots that shape-change to complete complex tasks – it sounds like science fantasy. However, MIT researchers have developed a machine-learning technique that brings shape-changing ...

Picture a robot capable of changing its shape on demand, squishing, bending, or stretching to perform various tasks like navigating tight spaces or retrieving objects. While this may sound like ...

Humans and animals can learn new skills after practicing for a few hours, while current reinforcement learning algorithms require a large amount of data to achieve good performances. Recent ...

Reinforcement Learning (RL) enable agents to learn from interactions with their environment by mapping environmental states to actions, aiming to maximize the value of received feedback signals. The ...

Researchers at MIT have developed a framework called Self-Adapting Language Models (SEAL) that enables large language models (LLMs) to continuously learn and adapt by updating their own internal ...