People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...

OpenClaw RL introduces an asynchronous reinforcement learning framework that trains agents from live conversations, tool ...

When we learn a new skill, the brain has to decide—cell by cell—what to change. New research from MIT suggests it can do that with surprising precision, sending targeted feedback to individual neurons ...

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Plutarch once said the mind is a fire to be kindled, not a vessel to be filled. Discover why curiosity—not memorisation—is the true path to learning.

Tests and exams often inform too late what should have been known earlier. Stealth assessment and adaptive training may provide exciting opportunities.

Students may associate history class with memorizing dates, but they should be learning the skills of evidence collection and analysis.

Problem-Based Learning (PBL) is often introduced as a student-centred approach where learners explore issues through discussion and inquiry. The concept itself is not new. Universities have adopted it ...

If there’s a legal reckoning to come over the use of intellectual property in training AI, there are also several methods of ...

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that ...