Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

As IoT and AI ecosystems mature, enterprises are rejecting vendor lock-in in favor of interoperability. Here's what leaders need to know.

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve.

A survey of over 1,000 enterprises conducted by S&P Global Market Intelligence in 2025 revealed that 42% of companies ...

GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still adopting predictive AI just as much.

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development. For several decades now, the most innovative ...

Popular paperbacks are being translated with the help of machines, raising anxiety among professionals in the field.

One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...