Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve conduction recordings. Interpretation of these recordings is largely taught during ...

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and more energy-efficient predictions than traditional models. Unlike existing ...

To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...

Gabriel Gomes built an agent that turns plain English into physical experiments, enabling research that humans alone could never sustain ...

To use or not use AI? That is the question many students find themselves asking these days. It can feel like a competition, but are those who do not use ...

The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data.

In Python Physics Lesson 14, we explore the simulation of elastic collisions and springs! Learn how to model collisions, spring dynamics, and energy transfer using Python, with step-by-step coding and ...

W3C proposal backed by Google and Microsoft allows developers to expose client-side JavaScript tools to AI agents, enabling ...

Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or ...

Physical AI is not merely a product feature. It is an architectural shift. The question before us is simple: Will the world of Physical AI be built by a few thousand engineers, or by millions of ...

A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.