Machine Learning News

Andrej Karpathy's open-source 'autoresearch' repository, released March 7, 2026, enables AI agents to autonomously run machine learning experiments, achieving an 11% training time reduction for GPT-2 after 700 experiment…

A developer details the challenges of achieving real-time 60 FPS video segmentation on Android, where each frame must be processed within 16.67 milliseconds. The post explores the use of heterogeneous computing—combining…

Researchers introduced InfiniteDiffusion, a training-free algorithm enabling diffusion models to generate infinite, seed-consistent, and random-access content, breaking the trilemma between infinite extent, stateless gen…

A developer built a simple Retrieval-Augmented Generation (RAG) application using LangChain, OpenAI embeddings, and Pinecone. The app ingests text documents by splitting them into chunks, converting them to embeddings, a…

London Strategic Edge launched the largest free archive of market data, offering 133 billion ticks across 118,000 datasets including stocks, options, forex, crypto, and macroeconomics. The platform also provides free str…

A developer built AI Portfolio Analyzer, a web application that combines data engineering, machine learning, and full-stack development to help investors analyze portfolios, forecast prices, assess risk, and estimate cap…

AI researcher Rich Sutton warns against the 'one-step trap' in AI research, where relying on iterating one-step predictions for long-term outcomes leads to compounding errors and exponential computational complexity. He …

A developer built pdfmuse, a PDF/DOCX parser designed for precise text extraction in RAG pipelines. After running it on 80 real resumes, 8 failed silently with zero characters due to unhandled form XObjects in Canva expo…

A developer built a browser instrument that visualizes how embedding coordinates can change under orthogonal transformations while cosine similarities remain identical. The tool demonstrates that raw coordinate axes are …

A developer proposes a design pattern for using AI to triage static-analysis alerts while preventing the model from hiding bugs. The pattern keeps detection and disposition separate, binds proposals to scanner rules and …

HoLo-FuSe, a class-conditional diffusion model using a frozen 27-D HSL byte substrate with zero learned parameters, successfully generated cat and dog faces from AFHQ data at 128px resolution on a single Colab T4. The mi…

Researchers at Aleph Neuro have developed a prototype silent speech system that uses an ultrasound probe and machine learning to read tongue movements and decode them into speech, achieving a 15.6% error rate with 50 hou…

A developer distinguishes between RAG (Retrieval-Augmented Generation) and agent memory, explaining that RAG is read-only retrieval from static corpora while agent memory involves read-write learning from interactions. T…

Researchers studying neural networks discovered that individual neurons do not represent single concepts but instead respond to multiple unrelated features, a phenomenon called superposition. This finding challenges the …

A developer built myRAG, a fully self-hosted RAG stack combining FastAPI, React, Qdrant, PostgreSQL, and Neo4j. The system uses hybrid search with dense and sparse embeddings, cross-encoder reranking, and knowledge graph…

In 2012, Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton published the AlexNet paper at NIPS, introducing a deep convolutional neural network architecture that revolutionized computer vision by winning the ImageNet …

A developer published a Keras-based implementation of the LeNet-5 convolutional neural network architecture, originally proposed by Yann LeCun in 1989 for handwritten digit recognition. The implementation uses functional…

Researchers propose Dynamic Decoupled Ablation (DDA), a new AI architecture that isolates corporate knowledge into modular weight masks, enabling instant deletion of specific data without retraining. This approach addres…

A developer built a multi-agent AI pipeline in pure Python without frameworks like CrewAI or AutoGen. The system uses five agents with distinct roles and system prompts, passing outputs sequentially. The implementation i…

Kaspersky's anti-phishing technology blocked over 140 million phishing and fraud attempts globally in Q1 2026, with attackers increasingly using AI to target victims. The cybersecurity firm reported that more than half o…