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

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 ...

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 ...

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.

Teachers are the first to tell you whether PD is worth their time…and our teachers are asking for more of this professional ...

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 ...