Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
JD Logistics, the supply chain arm of JD.com, has evolved from an e-commerce delivery network into a technology-driven platform integrating AI, robotics, and automated warehouses. The company uses AI for demand forecasti…
PyTorch's torch._assert_async API enables asynchronous assertion on GPU device streams, avoiding graph breaks in torch.compile. The API accepts a boolean tensor and reports failures only when the GPU stream synchronizes …
X has open sourced a larger version of its For You feed ranking algorithm on GitHub under the Apache License 2.0, including configuration parameters, weights, visibility-filtering code, and label systems, and is piloting…
Applied Intuition, Inc., a $15 billion Silicon Valley company founded in 2017, is hiring a Data Engineer for its Axion product in Sunnyvale, California, with a salary range of $200k–275k/yr. The role involves building op…
A developer has detailed a method for fine-tuning OpenAI's Whisper-v3 model to detect sleep apnea and hypopnea events from audio recordings. The approach repurposes Whisper's speech-to-text architecture to classify acous…
Reinforcement learning (RL) for large language models (LLMs) achieves rapid performance gains despite being information-theoretically inefficient compared to pretraining, according to a speculative analysis. The author n…
Henry Pan released Harness Training, a PyTorch-style trainer that keeps the LLM frozen and trains the surrounding harness—prompts, context management, tools, and repair loop—by proposing diffs to a single editable file a…
Redis published a production-focused guide to vector search, detailing how indexing algorithms trade accuracy for speed and where systems break as datasets and traffic grow. The guide notes that a standard float32 vector…
Gartner is hiring a Data Scientist for its Insights & Product Analytics team in Gurgaon, India, to work on high-impact data science initiatives involving NLP, machine learning, deep learning, and generative AI. The role …
A developer known as litlig released a notebook demonstrating pixel art generation using discrete diffusion, a method that treats pixel art as categorical data and progressively de-masks pixels to generate 16x16 front-fa…
A hand-written heuristic of a few hundred lines of Python if-statements beat a trained reinforcement-learning agent in 100% of 50 games per pairing in the card game Jaipur, scoring a rating of 1081 versus the network's 5…
Airbnb is hiring a Staff Machine Learning Engineer for its Traffic Intelligence team, offering $212k–265k/yr, to build end-to-end traffic classification ML systems that distinguish legitimate automation from abusive acto…
A new reinforcement learning method called ResidencyRL, trained on 57,453 simulated patient encounters, reduced missed red flags from 45.5% to 31.5% and earned an 87.6% expert preference over a baseline model in clinical…
A developer built a customer churn prediction API using the Telco Customer Churn dataset, training three classifiers and serving the best model via FastAPI. The project packages the entire preprocessing and modeling pipe…
Meta announced Wednesday that it is rolling out Scam Alert, an optional on-device machine learning tool for WhatsApp that flags scam messages without giving Meta or any other entity access to private conversations. The f…
A LatePost investigation based on interviews with nearly ten Chinese AI researchers and practitioners reveals that model distillation, a technique for compressing or improving AI models by training a 'student' model on a…
Flock Safety announced new privacy and accountability controls for its automated license plate reader network on Aug. 13, making its Audit Assistance feature mandatory and requiring case codes for searches, while shorten…
A developer's analysis of low-precision AI formats in mid-2026 shows that FP8 and FP4 have become essential for efficient large-scale AI training and inference. The report details how FP8 formats (E4M3 and E5M2) and NVID…
Python's data analysis libraries, including pandas, NumPy, Matplotlib, Seaborn, and scikit-learn, enable businesses to analyze customer behavior, uncover patterns, and make data-driven decisions. Techniques such as data …
Meta AI researcher Joseph Scharpf explains Joint-Embedding Predictive Architecture (JEPA), a self-supervised learning approach that predicts missing regions' representations rather than pixel values. The article contrast…