The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

Epshtein argues that a deeper understanding of generalization and principled use of prior knowledge are essential to building ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

Overview Modern AI laptops come with dedicated Neural Processing Units (NPUs) that are ideal for boosting AI-related ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Overview: The choice of deep learning frameworks increasingly reflects how AI projects are built, from experimentation to ...

With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...