Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Shipd.ai, operated by Datacurve, runs a contributor platform where engineers from 40+ countries solve STEM problems — software engineering, machine learning, and data science — to produce training data for frontier LLMs.…
Artificial intelligence is gaining ground in weather forecasting, with meteorological agencies and private-sector companies worldwide developing proprietary AI forecasting models that analyze historical data to predict f…
A proposed method called exploration-guided prompt scaffolding aims to fix the equal rollout budget that standard online reinforcement learning gives to training prompts, which vary widely in how informative they are for…
Researchers introduced Dream-RSI, a method for recursive self-improvement in autonomous AI agents that evolves worlds to drive exploration, according to the paper's headline and abstract. The work targets the bottleneck …
Researchers introduced Attention-DP3, a spatially object-aware 3D diffusion policy that uses geometry-aligned attentional conditioning to address ambiguity in 3D point-cloud observations from complex, cluttered manipulat…
A developer has published a tutorial for building "Posture Guardian," a browser-based tool that uses MediaPipe's pose estimation model and Vue.js to detect slouching, forward head posture, and uneven shoulders in real ti…
A developer documented building a small handwriting classifier, shipping it in a Flutter app, and teaching it new characters from a few local samples. The same collection of posts covers cross-compiling Obscura and V8 fo…
Edge0 released Edge0-35B-A3B-preview, a 35-billion-parameter mixture-of-experts language model built on Qwen3.6-35B-A3B that runs with under 3 GiB of active memory by streaming experts from SSD instead of loading all wei…
Researchers published VQ-bench, an open-source framework that unifies vector quantization algorithms by decomposing them into 7 common conceptual primitives that can be composed arbitrarily. The authors re-expressed 25 c…
Muon Space posted an on-site software engineer role in San Jose, CA for computer vision and machine learning at a salary range of $212,000 to $233,000 per year, plus equity and benefits. The listing, filed under Inferenc…
A technical reference on transformer architecture details that most tokenizers prepend a BOS token, which acts as a fixed landmark or "attention sink," while a space prefix yields the wrong token. The reference notes tha…
1X Technologies posted an on-site AI Researcher - Perception role in San Carlos, CA, paying $200k–300k/yr, which sits 5% above the $237k median for Core ML roles on the board that publish pay (516 of 663). The hire will …
Researchers introduced Parallel Decoding Distillation (PDD), a trajectory-based distillation method that accelerates image and video generation by predicting multiple denoising steps per network evaluation, achieving sta…
Mistral AI Audio Lead Pavan Muddireddy said enterprise speech recognition deployments still face severe fragmentation in noisy, multi-speaker environments despite benchmark claims that the problem is solved, in a Machine…
Reward AI released OM-1 (Omnibody Model 1), a general-purpose manipulation policy trained entirely on human demonstrations captured with a 7-DoF wearable glove, with no teleoperation or on-robot data. The policy runs on …
A new paper argues that recursive self-improvement (RSI) is not on the horizon because current AI agents cannot conduct open-ended machine learning research. The study tested agents on accepted but unpublished NeurIPS pa…
Sakana AI researchers Jeffrey Seely and Julian Gould introduced Augmented Lagrangian Predictive Coding (PC-ALM), a layer-local alternative to backpropagation that attaches a Lagrange multiplier to each layer constraint. …
An international team including researchers from the University of Manchester, University College Dublin, the European Space Agency, Diamond Light Source and South East Technological University captured metal dendrites f…
Towards Data Science published "Your Model's MSE Is Lying to You," the first post in a series on probabilistic forecasting for physical signals, with a follow-up planned on rolling a forecast forward more than one step. …
Reward AI, a Stanford robotics spinout founded by Zipeng Fu and Chen Wang, launched OM-1 on September 14th, a robot foundation model the company says controls tabletop arms, industrial systems and humanoids without robot…