Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Proton has deployed machine learning models to detect abuse of its services, specifically targeting email addresses exploited by cybercriminals, according to a report from Infosecurity Magazine tied to the Infosecurity E…
Databricks announced a major update to its Agent Bricks Knowledge Assistant, powered by a new retrieval-specialized model called Instructed-Retriever-1, that cuts answer generation time by 2x and search time by more than…
A Hacker News user developing an AI-powered Gin Rummy trainer is struggling to program medium and hard difficulty bot strategies, as the AI continues to lose to the easy setting. The user seeks community recommendations …
NVIDIA released Nemotron 3.5 ASR, a 600M-parameter streaming multilingual speech-to-text model that transcribes 40 language-locales from a single checkpoint with built-in punctuation and capitalization. The model, which …
Canonical engineer Asa Mirzaieva demonstrated how to deploy optimized AI models on Renesas RZ/V series hardware using Ubuntu Core 26 and the Dynamically Reconfigurable Processor for AI (DRP-AI). The workflow enables deve…
Google removed the vision and audio encoders from its Gemma 4 12B model, projecting raw image patches and audio waveforms directly into the language model's embedding space. The 12B model, which runs on 16GB of VRAM, sco…
Google’s expanded candidate set is shifting search evaluation beyond traditional keyword targeting, making verification, semantic relationships, and trust signals the primary determinants of content visibility. This chan…
Meesho's proprietary AI discovery engine PRISM now powers over 75% of orders on the platform, according to a press release filed with the National Stock Exchange on May 6, 2026. The company reported net merchandise value…
OpenAI's internal reasoning model autonomously disproved the planar unit distance conjecture, a mathematical problem posed by Paul Erdős in 1946 that had remained unsolved for nearly 80 years. The AI produced a new famil…
NVIDIA researchers developed a task-seeded synthetic Q&A generation workflow for Nemotron-family pretraining that uses public task training splits as capability seeds to generate new task-aligned examples with reasoning …
Apple released a new ad promoting Safari as a more private browsing alternative to Google Chrome, depicting Chrome's data trackers as chrome-suited figures that follow users. The ad highlights Safari's default blocking o…
Honeycomb Insurance raised $40 million in a funding round led by Zeev Ventures, bringing its total funding to $95 million, as the AI-native insurer uses geospatial data and aerial imagery to price multi-unit residential …
A developer has published code and research showing that cross-family evaluation—using a generator and judge from different model families—reduces self-preference bias in AI pipelines by an average of 31.5%. The approach…
Researchers have developed DiffusionBlocks, a method that trains neural networks by dividing them into blocks and training only one block at a time, reducing memory requirements to roughly 1/B of standard end-to-end trai…
AWS Lambda's reported `@maxMemoryUsed` metric tracks a high-water mark across an entire execution environment, not per-invocation memory usage, according to AWS support. A customer's ONNX model inference Lambda function …
Google released Gemma 4 12B, a 12-billion-parameter multimodal model designed to run on consumer laptops with 16GB of RAM or VRAM. The encoder-free model accepts text, images, and native audio, and its benchmark performa…
A developer found that 4 to 8 dedicated GPUs, such as the H200 NVLink, are sufficient for most production inference workloads on 70B to 200B parameter models, debunking the need for multi-node clusters. The analysis show…
A developer trained a small large language model on a single notebook to understand the end-to-end process, from data ingestion to inference, and then deployed it to run queries directly inside an Exasol database. The pr…
The next major advance in artificial intelligence will depend on better data, not larger models, according to AI researchers. A "data gap" between what models can theoretically achieve and what they can do in practice is…
DaltonTx launched Dalton, a drug discovery platform that integrates molecules, assays, models, experimental outcomes, project context and human decisions into a single learning system, according to a June 4 press release…