Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...

The mechanics of the onset of cancer or neurodegenerative disorders like Alzheimer's disease or ALS remain a mystery.

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Research and innovation in Texas A&M University's biomedical engineering department often centers around clinical impact on ...

In a step toward biological computing, brain organoids rewired their networks as they learned to balance a digital pole on a cart. Try balancing a ruler vertically on the palm of your hand while ...

Digital innovation has transformed the running of offshore oil and gas operations, and the tailored application of artificial intelligence is now allowing operators to break new ground on efficiency, ...

Social engineering is often described as a cybersecurity issue, but that framing increasingly misses the point. The most effective social engineering attacks today do not rely on technical exploits or ...

Abstract: This paper explores the role of generative artificial intelligence (GAI) in addressing electrical engineering (EE) challenges. It introduces the evolution of Al technologies, from rule-based ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

UB undergraduate engineering students are learning to solve complex, open-ended engineering problems as part of their required coursework. One goal of assigning these types of problems is to better ...

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