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 ...

Explore the innovative generative AI method transforming drug discovery and material science at unprecedented speeds.

Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to ...

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 neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Many in the AI community believe that the next major revolution will be the era of self-improving AI where AI can improve ...

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