The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Find out why the most popular mathematical subjects in engineering in 2026 are calculus and linear algebra. Discover how ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

A California-based company is set to deliver more than 600 machine-learning infused strike drones ...

For decades, higher education has relied on a familiar model: expert-led lectures, content-heavy curricula and assessments designed to measure recall. While this approach has produced graduates with ...

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

The Robotic Instruments group at the Department of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, is seeking a highly motivated master thesis worker or a ...