Cleve Moler, Who Unlocked the Power of Computing for Millions, Dies at 86

He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...

Machine learning helps identify six promising solvents for carbon dioxide electroreduction

Carbon dioxide (CO2) is a primary driver of climate change in Earth's atmosphere. At the State University of New York at ...
Nature

Machine learning applications in psychology

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...
EurekAlert!

A review of machine learning advances in reliability-based design, integrity assessment, inspection and maintenance of pipelines

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...
Frontiers

Resilient Cyber-Physical-Social Power Systems: Risk Assessment and Adaptive Strategies

The increasing integration of information and communication technologies, together with the growing participation of social actors and demand-side ...
Morning Overview on MSN

Researchers built an AI that runs climate simulations about 25 times faster by fusing physics with machine learning

Researchers at the University of California San Diego and the Allen Institute for AI have built a climate emulator that ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Frontiers

Data-driven photovoltaics: accelerating solar cell design and performance through machine learning

Solar cell research plays a central role in the advancement of next-generation optoelectronic technologies and sustainable energy solutions. As key ...