In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
For decades, the ability to visualize the chemical composition of materials, whether for diagnosing a disease, assessing food ...
Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...
Gonzalo Arce College of Engineering — Electrical and Computer Engineering arce@udel.edu Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...
Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
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