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 ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

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

Morgan Stanley analysts have flagged early 2026 as a critical inflection point for artificial intelligence, projecting that ...

Building general knowledge is not a one-day task, but it takes years to develop, and with every passing day, it keeps ...

The four-day workshop took place in Bahir Dar from 10–13 March 2026, bringing together representatives from Technical and Vocational Training (TVT) colleges and industry in the Amhara region.

Teachers can include students in the process of designing a tool to measure their understanding of content—an additional learning opportunity.

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 ...

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 ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...