Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
IEEE

Investigating Brain-Inspired Computing Architectures to Enhance Energy Efficiency in AI Models Using Neuromorphic Computing

Abstract: Brain-inspired computing is a method of enhancing the efficiency of artificial intelligence through clock speed, akin to the human brain. The traditional Deep Neural Network (DNN) had ...
Edutopia

In High-Performing Math Classrooms, Words Matter

Math vocabulary alone isn’t a silver bullet—but research shows it’s linked to stronger academic achievement when paired with expert teaching practices.
GitHub

Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
IEEE

DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...
Nature

This giant virus hijacks cells’ protein-making machinery to multiply wildly

A virus that is big enough to be seen under an ordinary light microscope co-opts its host’s systems with the help of potentially purloined genes. The researchers found that the virus makes a complex ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...