Nature

Enhancing deep learning-based field reconstruction with a differentiable learning framework

Achieving accurate reconstructions of complex high-dimensional fields from sparse sensors remains a long-standing challenge. Frequently, reconstruction performance is mainly constrained by models and ...
Phys.org

AI tensor network-based computational framework cracks a 100-year-old physics challenge

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...
Nature

A graph attention network-based multi-agent reinforcement learning framework for robust detection of smart contract vulnerabilities

Smart contracts have revolutionized decentralized applications by automating agreement enforcement on blockchain platforms. However, detecting vulnerabilities in smart contract interactions remains ...
Forbes

Work-Based Learning: Addressing Scaling Challenges

Forbes contributors publish independent expert analyses and insights. Jean Eddy is the Executive Chair of American Student Assistance. In this third and final article on the report, we’ll highlight ...
BMJ Open

Use of case-based, problem-based and team-based learning in public health education – a scoping review

Objectives Active learning strategies, including case-based learning (CBL), problem-based learning (PBL) and team-based ...