Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Bloomberg L.P.

XAI Limits Grok Images After Uproar Over Sexualized Content

Elon Musk’s XAI restricted Grok’s image-generation feature for most users on the X social media platform after the artificial intelligence tool drew widespread condemnation for generating undressed ...
INSPIRE

DeepQuantum: A PyTorch-based Software Platform for Quantum Machine Learning and Photonic Quantum Computing

We introduce DeepQuantum, an open-source, PyTorch-based software platform for quantum machine learning and photonic quantum computing. This AI-enhanced framework enables efficient design and execution ...
IEEE

Federated Learning for Medical Image Classification: A Comprehensive Benchmark

Abstract: The federated learning (FL) paradigm is well-suited for the field of medical image analysis, as it can effectively cope with machine learning on isolated multi-center data while protecting ...
blockchain

PyTorch's Explosive Growth: How the Open-Source AI Framework is Shaping Machine Learning in 2025

According to @soumithchintala, PyTorch has experienced unprecedented growth while maintaining its foundational values, highlighting the framework's expanding influence in the AI industry (source: ...
IEEE

A Novel Thermal Image-Based Metal Classification System Using Machine Learning Algorithms

Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
GitHub

PyTorch Machine Learning Models Created by Claude Code

A deep learning project implementing a ResNet-based Convolutional Neural Network for classifying food images from the Food-101 dataset. This project demonstrates state-of-the-art computer vision ...
C&EN

protPheMut: An Interpretable Machine Learning Tool for Classification of Cancer and Neurodevelopmental Disorders in Human Missense Mutations

MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, Department of Bioinformatics and Computational Biology, School of ...