Generative AI may significantly reduce the number of animal experiments

In early phases of drug development, new active substances are tested in animals—alongside numerous other experimental ...
Frontiers

On the need for abstract, deep reinforcement learning models in neuroscience

Deep Reinforcement Learning (DRL) algorithms combine artificial neural networks with reward-based learning processes, and are a useful analog of reward-based information processing and dopamine-driven ...
Business Wire

Onc.AI to Present Breakthrough Deep Learning Radiomic Biomarker Results at 2025 ASCO Annual Meeting

Onc.AI’s poster presentation showcases its FDA-breakthrough designated deep learning radiomics model, Serial CTRS, which evaluates changes across routine CT scans over time to predict overall survival ...
Microsoft

Abstracts: Heat Transfer and Deep Learning with Hongxia Hao and Bing Lv

Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts bring its audience to the cutting edge with them through short, compelling conversations ...
Education Week

Math Gets Progressively More Abstract. Here’s How to Help Students Keep Up

A modern Red Riding Hood on her way to Grandma’s house can meander through the woods, or drive down the interstate, or even climb a mountain to come around the back way. All those routes will get her ...
UroToday

Stress Testing Deep Learning Models for Prostate Cancer Detection on Biopsies and Surgical Specimens - Beyond the Abstract

Standard clinical workflows to evaluate the severity of prostate cancer require intensive manual evaluation of biopsy and radical prostatectomy histology slides. 1 Artificial intelligence (AI) models ...
IEEE

Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models

Abstract: We investigate the efficiency of deep neural networks for approximating scoring functions in diffusion-based generative modeling. While existing approximation theories leverage the ...
UroToday

Stress testing deep learning models for prostate cancer detection on biopsies and surgical specimens.

The presence, location, and extent of prostate cancer is assessed by pathologists using H&E-stained tissue slides. Machine learning approaches can accomplish these tasks for both biopsies and radical ...
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...