Machine learning rediscovers equations governing ocean biogeochemistry

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...
Nature

An integrated physics-guided machine learning approach for predicting asphalt concrete fracture parameters

Accurate prediction of fracture energy (G f) in asphalt mixtures is important for durable asphalt pavements designing. Traditional experimental approaches are reliable but need resources, whereas ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Nature

A machine learning approach to predict strain-specific phage-host interactions

Bacteriophages (or phages) constitute a group of viruses that specifically target and infect bacteria. Their biotechnological relevance stems from their unique capability to serve as natural predators ...
European Medical Journal

Machine Learning Optimises Ileostomy Use in Rectal Cancer

RTID system reduces unnecessary temporary diverting ileostomy use in rectal cancer surgery without increasing anastomotic leakage.
Science Daily

Machine learning approach helps researchers design better gene-delivery vehicles for gene therapy

Gene therapy could potentially cure genetic diseases but it remains a challenge to package and deliver new genes to specific cells safely and effectively. Existing methods of engineering one of the ...
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 ...
AZOM

Machine Learning Approaches for Accelerated Materials Discovery

Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...
Science Daily

New machine learning algorithm promises advances in computing

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
Nanowerk

A better way to model the behavior of metal alloys

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...
Scientific American

Nobel Prize in Physics Awarded for Breakthroughs in Machine Learning

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...

Pacer ETFs Launches Two AI-Driven ETFs Leveraging Advanced Machine Learning and Strategic Partnerships

Pacer ETFs launches two AI-powered ETFs leveraging machine learning and proprietary alpha signals developed with S&P Dow Jones Indices and 3AI.