Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
EurekAlert!

AI is rewriting the rules of enzyme engineering—from faster prediction to smarter design

A research team maps the key tasks that define modern enzyme engineering—function annotation, structure modeling, and property prediction—and explain how AI methods now accelerate each step, from ...
IEEE

A Machine Learning-Based Inverse Design Method With Hybrid Modeling for Multilayer Frequency-Selective Surface (FSS) Design

Abstract: To efficiently design frequency selective surface (FSS) structures with more degrees of freedom (DoFs), this work proposes a machine learning-based inverse hybrid design method (IHDM) which ...
C&EN

Machine Learning-Driven Inverse Design for Low-Carbon and Cost-Effective Organic Acid Leaching of Spent Ternary Lithium Batteries

School of Environment and Energy, Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Recycling, South China University of Technology, Guangzhou 510006, P. R. China ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

RPG Larian's head writer has a simple answer for how AI-generated text helps development: 'It doesn't,' thanks to its best output being 'a 3/10 at best' worse than his worst drafts Graphics Cards 'It ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
GitHub

inverse-design

This project explores the inverse design of materials using a Conditional Variational Autoencoder (CVAE) framework trained on a curated dataset of Refractory High-Entropy Alloys (RHEAs). By leveraging ...
Live Science

AI can now be used to design brand-new viruses. Can we stop it from making the next devastating bioweapon?

Scientists have used AI to design bacteriophages, or viruses that infect only bacteria. Does the prospect of designing viruses with AI pose threats to biosecurity? When you purchase through links on ...
techxplore

Machine learning-based design enables more efficient wireless power transfer

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...