Why LLMs are plateauing – and what that means for software security

AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
GitHub

FiNDR: Vocabulary-Free Fine-Grained Recognition via Reasoning-Augmented LMMs

This repository contains the reference implementation for FiNDR (Fine-grained Name Discovery via Reasoning), a fully automated framework for vocabulary-free fine-grained image recognition using ...
IEEE

Autoencoder-Enhanced Balanced GAN Framework for Imbalanced Sonar Image Recognition

Abstract: Deep learning approaches for sonar image recognition exhibit excellent performance under balanced conditions but suffer significant degradation in real-world underwater environments with ...
GitHub

Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption

(2025-09-15) The inference code of A-FINE is intergrated into the excellent PyIQA codeframe. Please find the detailed usage here. (2025-04-14) We release the DiffIQA dataset. (2025-04-14) We release ...
The New York Times

How ICE Already Knows Who Minneapolis Protesters Are

Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but also to track protesters, current and former officials said. By Sheera ...
IEEE

Capturing Fine-Grained Food Image Features Through Iterative Clustering and Attention Mechanisms

Abstract: Food image recognition is a crucial initial step for food detection, nutritional analysis, and dietary recommendations. However, it is highly challenging due to the diverse appearance of ...