Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

2026 Advanced GenAI Course Focused on Large Language Models and Diffusion Systems Launched by Interview Kickstart

SANTA CLARA, CA - January 13, 2026 - - As generative artificial intelligence continues to influence how software is designed, ...
GitHub

Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models

This repository contains the complete codebase for training and evaluating energy-based diffusion models for molecular dynamics simulations. Our approach enables a single model to perform both ...
IEEE

Bone Fracture Classification Using Deep Learning Models with Transfer Learning

Abstract: Bone fracture can be defined as the complete or partial disruption of the integrity of bone tissue. Early and accurate diagnosis of fractures plays a decisive role in the effectiveness of ...
IEEE

Deep Learning Models of Artificial Intelligence in Computer Vision

Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Background: Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear ...