Deep learning model predicts which heart-failure patients will worsen within a year

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

Deep learning model enables accurate and scalable drug-drug interaction prediction

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...
University at Buffalo

As wildfires intensify, UB researchers test if AI can improve fire spread prediction

Evaluation of deep learning tools underscores the strengths, limitations and opportunities for next‑generation hybrid ...
Analytics Insight

Deep Generative Models, Stanford University

Stanford University’s Deep Generative Models (XCS236) is a graduate-level, professional online course offered by the Stanford School of Engineering. Based on th ...
Tech Xplore

New deep learning framework solves the cold-start problem

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...
EurekAlert!

Efficient structural analysis with deep learning: a new approach for civil engineering

Discover how researchers are revolutionizing civil engineering with a new deep learning model that can analyze complex structural systems faster and more accurately than ever before. Learn about the ...
Chromatography Online

AI/ML in Practice: Boudewijn Hollebrands on Deep Learning Models to Predict Food Peptide Retention Times

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...
Tech Xplore on MSN

Improving AI models' ability to explain their predictions

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 ...
Analytics Insight

Best Neural Networks Courses in 2026 for AI and Deep Learning

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...