Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Mercor, a profitable Series C AI data company valued at $10 billion, is hiring a Member of Technical Staff for Deeptune, its RL environments lab, with a salary range of $220k–600k/yr, based on-site in New York City. The …
Malachyte, an AI-powered ecommerce recommendation platform founded by Sidd, uses Google Cloud's Bigtable and Managed Service for Apache Kafka to help retailers double or even triple their sales by solving the cold-start …
A developer built StatMate (getstatmate.com) and argues that economists are well-suited for data science because the core statistical methods, such as linear and logistic regression, are the same as those in econometrics…
HypoLab, an open-source agentic pipeline built by an unnamed developer, lets an LLM propose data hypotheses but requires classical statistical tests to verify them before presenting results. In tests on the Gapminder dat…
An engineer working on AI model evaluation and fine-tuning reports that accuracy is the most common and subtle failure point in model outputs, often manifesting as confident but factually wrong errors. The engineer highl…
A new explainer by an unnamed researcher details how to measure forecast calibration using empirical coverage and Probability Integral Transform (PIT) histograms, drawing on a 2007 paper by Gneiting, Balabdaoui, and Raft…
The third International Olympiad in Artificial Intelligence (IOAI) concluded in Astana, Kazakhstan, on 8 August 2026, with 108 participating countries and territories, 466 contestants, 126 team leaders, and 100 observers…
Researchers introduced Anacreon, an audience simulation model that achieves a state-of-the-art individual-level ordinal alignment of 0.775 on a large external survey, targeting individual-level predictions within a narro…
Bankim Chandra, a Forbes Councils member, explains how AI can predict fraud before it occurs by analyzing real-time risk intelligence, focusing on understanding the intention behind suspicious payments rather than just r…
Artefact, a global data and AI consulting company, is hiring a Forward Deployed Engineer for its Utrecht office to build production-grade data pipelines and deploy LLM-based solutions such as RAG systems and agentic work…
Artificial intelligence is transforming early disease detection in healthcare, enabling point-of-care screening for conditions like diabetic retinopathy, cancer, and heart disease, according to a HealthTech analysis. The…
Ruflo v3.35.0 fixes a dependency bug where MetaHarness packages were silently absent due to being declared as optional peer dependencies, and implements ADR-381 to cap false promotions in its self-optimizing flywheel. Th…
A developer shared their experience choosing deployment platforms for machine learning projects, highlighting Vercel for frontend, Hugging Face Spaces, Render, and Railway for backend, and GitHub for source code. They cu…
Researchers introduced HLSmith, an expert-guided agentic framework that translates C/C++ programs into optimized high-level synthesis (HLS) accelerators, achieving a geometric mean speedup of 4.24x over the prior ChatHLS…
Cast AI benchmark testing shows that continuous batching at batch size 8 reduces Llama 3.1 70B inference cost on a single H100 from approximately $0.60-$0.80 per million tokens to $0.15-$0.25 per million tokens, a 3-4x r…
AI model drift, a gradual decline in performance as production data diverges from training baselines, threatens reliability even when infrastructure metrics stay healthy, according to a guide by Dan Juengst. The guide id…
A Berkeley team's experiments show that distilling a strong model's outputs into an open model transfers reasoning structure, not capability, with accuracy drops of 3.2-3.3 points when traces contain wrong answers or ran…
A new four-part series by an AI researcher explores how autonomous agents could learn planning algorithms themselves rather than relying on hard-coded strategies, reviewing ideas from theoretical computer science, reinfo…
A fraud detection model that predicts "not fraud" for every transaction scores 98.3% accuracy but is useless, according to a data scientist's account of building a payment-fraud ML pipeline. In the pipeline's dataset, fr…
VoxHearth, an open-source macOS menu bar app for private dictation, records audio in memory, transcribes with a bundled Core ML model, and inserts text into the focused app, with no account, telemetry, updater, or networ…