Functional connectivity reveals brain attractors that match predictions of free‑energy‑minimizing attractor theory, yielding an interpretable generative model of brain dynamics in rest, task, and ...

A new AI-driven beauty evaluation system rates how attractive faces appear, while training faster than typical deep learning models, potentially making large-scale automated beauty-scoring more ...

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 ...

Roboticists have struggled to get humanoid robots to effectively replicate athletic sports skills, such as those needed for tennis. These sports require highly dynamic motion, quick reactions, and ...

OS-level actions executed like clockwork, on a schedule ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

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.

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 ...

Hu, D. (2026) Transformer-Based Automatic Item Generation for Course-Based Test Items: A Case Study of Translation Tasks in China’s Context. Open Journal of Modern Linguistics, 16, 115-128. doi: ...

This piece has been written by staff members at The Center for Careers and Internships. For students of the class of 2026 preparing to enter a competitive job market, getting an early start on the job ...

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

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...