Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

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

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

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

Colleges and universities are amassing impressive equipment supplies that give students an opportunity to innovate.

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

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

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

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

Researchers have proposed a new ethical framework to regulate emerging technologies, such as artificial intelligence and ...