Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Salesforce used Amazon SageMaker AI Inference Components' new Placement capability, surfaced through the SchedulingConfig parameter in the CreateInferenceComponent API, to meet Multi-AZ high availability compliance for A…
Researchers introduced WikiSkill, a framework that co-evolves AI agent skills with a persistent knowledge base (wiki) by separating raw execution experience, accumulated knowledge, and executable skills, and continuously…
Retrieval-augmented generation (RAG) is emerging as a key technique for building AI customer support assistants that answer from a company's own verified data, reducing hallucinations and improving accuracy. The approach…
WARP, an embeddable inference engine written in C, now runs the full 2.78-trillion-parameter Kimi K3 model on a 64 GB MacBook Pro at about 0.6 tokens per second, and the 313-billion-parameter GLM-5.3-Flash at about 3.9 t…
A developer has open-sourced a Multi-Cloud FinOps Engine built with Python and FastAPI that normalizes AWS, GCP, and Azure billing data into the FOCUS 1.0 standard and uses machine learning to detect cost anomalies. The …
Nvidia has released TensorRT Model Connect (TRTMC) in public preview, a tool that converts Hugging Face checkpoints into native C++ inference bundles with two commands, eliminating the need for intermediate ONNX export a…
An open-source hybrid local framework, RobinHood, combines TCN, LSTM, and Attention deep learning with Captum Integrated Gradients feature attribution to generate deterministic numerical weights for time-series data, whi…
Northeastern University researchers led by Miguel Fuentes-Cabrera are using AI to monitor individual algae cells in biomanufacturing tanks, aiming to improve biofuel production efficiency. The AI analyzes images from the…
MetroStar is hiring a Solutions Architect in Indianapolis, IN, offering $78,000–$115,000 per year to support secure, scalable cloud architectures that modernize legacy Marine Corps systems and enable AI-assisted code con…
A developer replaced a cloud vector database with SQLite FTS5 and dense embeddings in a hybrid RAG pipeline, reporting a 10x improvement in retrieval accuracy for exact keywords, error codes, and version numbers. The app…
Google has introduced Gemini 3.5 Transcribe, a dedicated speech-to-text model built on Gemini's audio understanding core, optimized for fast, accurate, and cost-effective transcription. The model supports native speaker …
An independent researcher is seeking an arXiv endorsement for a paper on learned query optimization, which studies how graph-based query plan representations provide complementary optimization signals beyond tabular feat…
Scikit-LLM, a Python library for integrating large language models into scikit-learn workflows, demonstrates how to interpret text classification by generating embeddings from movie reviews using the free all-minilm mode…
Developer soasme released micromlp, a single-file Python neural network with no dependencies that predicts California housing prices using a 2-layer MLP and from-scratch automatic differentiation, inspired by Karpathy's …
A developer built Trainlog, a voice-first AI sports journal that uses speech recognition and large language models to help users log workouts without friction. The project uses a deliberately simple stack—React 19, Fireb…
Marvin Minsky's 1986 observation that humanity lacks experience with complex machines remains relevant as AI evolves from Frank Rosenblatt's 1957 perceptron to modern deep learning, with AlexNet's 2012 breakthrough marki…
A research proposal outlines a self-learning inductive-deductive loop combining an H-Net structural induction layer with a Transformer reasoning layer, aiming toward superintelligence. The key challenge is designing an i…
The EU-funded XAIDA project is using artificial intelligence to detect, analyze, and attribute extreme weather events like heatwaves, focusing on research rather than commercial forecasting. The project's tools, includin…
A new Spring Boot library, PqcStarterLib, offers four patterns for integrating post-quantum cryptography (PQC) into banking applications, including payload encryption, field-level encryption, document signing with Dilith…
The open-source vector-bench project provides a reproducible method for benchmarking vector indexes across databases, addressing the lack of verifiable performance claims in the industry. It measures approximate nearest …