Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

Brigham Young University graduate Jane Housley's research could help make a widely used wildfire modeling tool faster and ...

The open benchmark competition will evaluate the ability of AI-powered virtual cell models to generalize to new cell contexts ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

Researchers have developed a technique that significantly improves the performance of large language models without ...

Vishakha Agrawal is an AI engineer with nearly a decade of experience developing the infrastructure that supports modern machine learning.

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

Se Jin Park, a researcher from Professor Yong Man Ro’s team at KAIST, has announced 'SpeechSSM', a spoken language model ...

Using machine learning and math, a Brigham Young University student improved a key tool firefighters rely on during wildfire ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...