Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A new AWS post traces the evolution of graph intelligence for network operations from passive topology modeling to agentic reasoning, citing dependency graphs autogenerated from SDN and NFV controllers that enable Bayesi…
TypeSafe AI's Jev model returns typed probabilistic decisions instead of generated text, claiming up to 200x faster inference and 400x lower cost than comparable LLMs on classification tasks. A parody blog post from Nobo…
A developer is integrating Laya, a 421-million-parameter open-source System One model built on a ModernBERT architecture with a decision head, into CanvasDesk, an early-stage open-source node-based tool for visual mathem…
An open-source project called ClashRoyaleAi published a browser demo in which a neural network with a few thousand weights, trained with the REINFORCE policy-gradient method, learns to place a single defending card again…
Researchers at the Weizmann Institute of Science in Rehovot, Israel, led by Michal Irani, built an AI "brain decoder" that reconstructs what a person is looking at from high-resolution fMRI scans and can also predict bra…
VIDRAFT released Darwin-180B-RSI, a 180-billion-parameter reasoning model trained with a weight-level Recursive Self-Improvement framework that updates model weights directly without human-annotated chain-of-thought. The…
Sktime released TServe, an open-source inference server that loads time-series foundation models including Chronos, TimesFM, Moirai, TTM, and TiRex once into memory and serves forecast requests over HTTP via a single POS…
Laya released a multilingual, non-autoregressive "System 1" decision engine that returns typed decisions across 100+ languages in a single forward pass in 33 ms, installable via `python -m pip install laya` on Python 3.1…
A hands-on one-semester course walks students through building a machine-learning compiler from scratch, progressing from elementwise operations to training a real LLM on GPUs. Over roughly ten weeks, students implement …
A September 30, 2026 arXiv paper (2609.39838) finds that large language models learn steganographic reasoning — concealing reasoning inside innocuous-looking text — far less readily than the neighboring capabilities of s…
Allegro's AlleCompanion machine-learning retrieval system lifted attributed gross merchandise value by as much as 21.25% in the in-cart placement but left GMV flat in the pre-cart step immediately before it, according to…
The Chinese Academy of Sciences' Institute of Artificial Intelligence for Industries released Maxwell, an embodied AI model that scored 91.9 on the Meta-World benchmark for robot physical tasks, the highest score ever re…
NVIDIA released Kumo Tabular, a family of tabular foundation models in Small, Medium, and Large sizes spanning roughly 28M to 215M parameters that predict new rows in a single forward pass with no training, hyperparamete…
TypeSafe AI, a San Francisco lab founded by former OpenAI researcher Diogo Almeida, released Jev, a decision-only model that returns typed probabilistic answers instead of generated text, priced at $0.042 per million inp…
David AI's DAI-ASR-I18N benchmark, built by CEO Tomer Cohen and CTO Ben Wiley, compared 14 speech-recognition systems on unscripted conversation across 21 languages and found error rates varied by an average of 3.7 perce…
Researchers introduced Ataraxos, an AI for the hidden-information board game Stratego, which defeated the most decorated human Stratego player of all time by a large margin, achieving what the Nature paper calls the firs…
NVIDIA published a fine-tuning workflow for its Nemotron 3.5 ASR streaming 0.6B model that adapts the 40-language-locale speech recognizer to Saudi Najdi and Hijazi dialects using the NeMo framework, the SADA 2022 and FL…
EXPLORENET, a learned adaptive exploration policy for group-relative diffusion RL, improves held-out GenEval2 by 14% over Flow-GRPO on Stable Diffusion 3.5 Medium and reaches a 67.2% human preference win-rate, according …
TrackFish3D, a geometry-driven self-supervised framework for dense multi-camera 3D tracking of schooling fish, improves 3D Multi-Object Tracking Accuracy from 87.7% for the strongest baseline to 95.8% on its benchmark, a…
An AI agent rediscovered a degree-four Blaschke-curve invariant from numerical data, fitting a homogeneous cubic whose frozen coefficients predicted 480 lines from 80 unseen parameter values with a recorded RMS scale-fre…