Computer vision

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Nebius Opens 2026 Physical AI Awards: Five $150K Compute Prizes, Nine Judges, and an October 25 Deadline

Once a physical AI product is in the field, the compute problem changes shape. Fleet data starts arriving faster than a team can label it, every retraining cycle has to be validated before it ships to hardware, and the sim-to-real loop stops being a research exercise and becomes a release process. That is the stage

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Black Forest Labs Releases FLUX 3 Action: A 7B Open-Weights World Action Model That Tops RoboLab-120

Black Forest Labs (BFL), the lab behind the FLUX image models, has released FLUX 3 Action. It is a 7B open-weights World Action Model (WAM) for robot control. The model reads camera frames, robot state and a text instruction. It then predicts future video frames and the next chunk of actions together. On the RoboLab-120

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The promise and peril of using visual AI to study cities

A few months ago, researchers from the MIT Senseable City Lab published a study about pollution in New York City featuring some new methods. For instance: With machine learning, they identified the types of vehicles appearing in 331 traffic cameras in the city, and estimated the emissions coming from each automobile. Given enough cameras, these

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Computer Vision Datasets

Shaip Expands Its Computer Vision Data Catalog with New Image and Video Datasets

Most computer vision projects don’t stall at the model. They stall at the data. Teams have the architecture, the compute and the engineers, and then spend months trying to source images and video that actually match the conditions their model will meet in production. That sourcing problem is what our computer vision data catalog exists

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Alibaba Qwen Releases Qwen-Image-2.1: A 7B Open-Weight Model for Image Generation and Editing

Alibaba’s Qwen team has released Qwen-Image-2.1, a unified text-to-image generation and image editing model. Its visual generation component has 7B parameters across 32 single-stream DiT layers. One checkpoint covers text-to-image, multi-reference editing, local edits, and transparent RGBA output. Is it deployable? Yes, for research and evaluation. Day 0 support covers Diffusers, ComfyUI, vLLM-Omni, SGLang, and

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New AI technique could make minimally invasive surgeries safer and more precise

Researchers created a new technique that accurately and rapidly matches X-rays captured during surgery with a patient’s preoperative 3D medical scan. This method could make it easier for clinicians to precisely pilot minimally invasive surgical tools, leading to faster and safer procedures.Clinicians perform many minimally invasive surgeries using real-time X-rays to help them steer devices

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Pony.ai unveils autonomous electric truck for logistics fleets

Pony.ai has unveiled an autonomous electric truck for logistics fleets, developed with GAC Commercial Vehicle for freight supply chains. Unveiled at IAA Transportation 2026, this Level 4 (L4) heavy rig marks the fourth-generation (Gen-4) iteration of Pony.ai’s Robotruck platform. It builds on GAC Commercial Vehicle’s T9 battery-electric truck architecture, with mass production set to start

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Samsung taps Mistral AI models for semiconductor manufacturing

Samsung has partnered with Mistral AI to deploy on-premises models across its semiconductor manufacturing and engineering operations. The agreement was announced during the bilateral state summit held in Paris between South Korea and France. Samsung will integrate Mistral’s software suite – including its flagship Mistral Large model – into internal semiconductor facilities to build customised

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Google DeepMind Releases AlphaGenome Atlas With Precomputed Molecular Effect Predictions and AVI Scores for 9 Billion Human DNA Variants

Google DeepMind has released AlphaGenome Atlas, a catalogue of precomputed predictions for the molecular effects of every possible single-nucleotide variant in the human genome. That is roughly 9 billion single-letter changes. The release also introduces the AlphaGenome Variant Impact (AVI) score, a single number that ranks variants by predicted impact, plus per-variant feature attributions and

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Reducto Releases r-1: A Single Pass Document Parsing Model That Cuts Errors 20% at 1 Cent Per Page

Last week, Reducto announced r-1. It is the first model in a new parsing family built on a rewritten architecture, and it replaces the company’s multi stage agentic OCR with one full page pass. Reducto says r-1 is more accurate than its most powerful legacy agentic models, faster, and up to 6x cheaper. Is it

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