Machine learning automates material analysis and design using X-ray spectroscopy data

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
pv magazine International

Machine learning keeps solar one step ahead of soiling

Scientists in Cyprus evaluated six different models used to predict the power losses caused by the accumulation of dust, dirt, and other substances on the surface of PV panels in the island’s arid ...
ET CIO

AI’s uncertainty principle: Why machines are learning the wrong lessons

Artificial intelligence is learning without understanding meaning. A global data revolution has stripped away essential ...

Google touts big step toward continual learning with new experimental AI model ‘HOPE’

Google said its HOPE model is built on a new concept called ‘nested learning’, which could help overcome limitations in today ...
Tech Xplore on MSN

FSNet finds feasible power grid solutions in minutes, outperforming tried-and-true tools

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...
Yale Environment 360

A step toward clinically useful brain-behavior machine learning models

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
EurekAlert!

Students tackle drug resistance by teaching machine learning

Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World Health Organization. Antibiotics are critical for human health, but many ...