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.
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 ...
CNBC

Meta strikes AI chip deal with AMD days after committing to deploy millions of Nvidia GPUs

Meta said its multiyear deal with AMD involves deploying up to 6 gigawatts of the company's graphics processing units for AI data centers. Last week, Meta committed to using millions of Nvidia's ...
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 ...