As generative artificial intelligence continues to influence how software is designed, built, and deployed, engineers and data professionals are increasingly expected to work directly with large ...

Five courses in an approved cluster of technical courses for depth in one of several emphasis areas. Common options are computational, electronics, materials science, solid state, mechanical, etc.

Welcome to the Department of Physics and Astronomy at the University of Delaware, where the pursuit of scientific discovery and innovation meets cutting-edge research and academic excellence. Our ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...

Abstract: Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide. Computed tomography (CT) plays an important role in the diagnosis and management of CVDs.

This repository is the official implementation of the paper: Physics Informed Distillation for Diffusion Models, accepted by Transactions on Machine Learning Research (TMLR). Diffusion models have ...

PHYS 31, 32, 33, 34, 192 Four additional and approved physics courses (with any prerequisites), excluding PHYS 190, 198, 199 While there are many options for course ...

This is the official PyTorch implementation for PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models (NeurIPS 2025 AI4Science workshop). This repository builds upon DiffusionPDE and EDM. We ...

Abstract: Intracardiac electrophysiological (EP) signals are frequently contaminated by diverse noise sources, posing a major obstacle to accurate arrhythmia diagnosis. We hypothesized that a ...

In this episode of Crash Course Physics, Shini sits down to talk about Astrophysics and Cosmology. By using what we've learned this year, we can come to understandings about our universe.

Shows Crash Course Physics Electric Current: Crash Course Physics #28 Electric Current: Crash Course Physics #28 Explore the world of physics, motion, and energy with Dr. Shini Somara.