AI Uncovers Hidden Signals, Discovering Dozens of New Alien Planets

By applying machine learning to vast TESS datasets, researchers have built one of the most precise catalogs of nearby exoplanets to date.

Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
Que.com on MSN

The machine learning revolution: Key trends shaping 2026 and beyond

The Machine Learning Revolution: Key Trends Shaping 2026 and Beyond The landscape of technology is in a perpetual state of ...
Science Daily

AI discovers the hidden signal of liquid-like ion flow in solid-state batteries

Solid-state batteries could be safer and more energy-dense than today’s lithium-ion technology, but finding materials that allow ions to move quickly through solid electrolytes has been difficult.
SFGate

Pipe bursts along Yuba River, prompting state of emergency

Yuba County declared a state of emergency last week after a pipe ruptured at a local powerhouse, spilling massive amounts of oil and debris into the Yuba River. A pipe ruptured at the New Colgate ...
The Daily Pennsylvanian

Penn researchers use machine learning to identify tooth decay risk factors

Penn researchers at the School of Dental Medicine have developed an artificial intelligence-powered process that identifies risk factors associated with tooth decay. The team utilized machine learning ...
Scientific Research Publishing

Lu, H., Peng, H., Xu, Z., Qin, G., Azimi, M., Matthews, J.C., et al. (2023) Theory and Machine Learning Modeling for Burst Pressure Estimation of Pipeline with Multipoint ...

ABSTRACT: Corrosion is one of the most challenging problems that affects the safety and durability of onshore pipelines. Corrosion-resistant steels play a pivotal role in ensuring long lasting ...