Key Takeaways: Universities are integrating AI into engineering education while reinforcing physics, math, and other fundamentals that students need to evaluate AI-generated work. Critical thinking and engineering judgment are more important than ever because AI can produce plausible but incorrect answers, leaving students responsible for verifying results and assumptions. Schools are redesigning assessments around oral

A new low-cost, scalable AI deep learning model to detect lung infections using CT scans. By Research Matters Staff Writer(s) · October 29, 2026 · Bhubaneswar · 2 min read EN Understanding lung infections such as pneumonia and tuberculosis requires expert analysis of chest CT scans. Catching these infections early is crucial to ensure proper

Accurate forecasting of renewable energy has become increasingly important for planning, managing and operating modern power systems as wind, solar and other renewable sources take up a growing share of electrical grids. A new systematic review published in Neural Computing and Applications examines how deep learning, one of the most prominent approaches in this field

Industrial environments generate vast amounts of sensor data, but most of it remains underutilized. Deployed on AWS, Archetype AI’s Newton physical world model brings Physical AI to manufacturing, turning raw signals into real-time operational intelligence. Introduction The next wave of AI is moving beyond the digital realm and into the physical world. Foundation models have

Physicists have trained two artificial intelligence models to identify the topological charge of Laguerre-Gaussian laser beams from nothing more than a small fragment of the random speckle pattern the beams produce after scattering from a rough surface. The work, published in Applied Physics B, pushes the reliable detection of these swirling optical modes up to

At MSToronto 2026, investigators applied machine learning to health records, retinal scans, and blood samples to flag multiple sclerosis and neuromyelitis optica spectrum disorder years before diagnosis or disability worsening, and identified the symptoms and conditions that tend to come first. Machine learning models applied to electronic health records (EHRs), retinal imaging, and blood samples

At MSToronto 2026, researchers showed deep learning models that extract more from routine MRI scans than volume measures alone, and clinicians described uses beyond imaging, but speakers warned that most published MS models have never been tested outside the center that built them. Artificial intelligence (AI) has moved quickly into multiple sclerosis (MS) research, with

Feature | Articles | October 27, 2026 Atomic spectroscopy has quietly gone from counting elements in bulk to counting single nanoparticles, imaging tissue at the micrometer scale, and reading Martian rocks from several meters away. The instruments got smaller, the software got smarter, and the questions they can now answer got a lot more interesting.