Computer Vision news and analysis on Web Pulse: 4325 curated articles tracking the latest Computer Vision developments, tools, and research, updated continuously from vetted sources.
Metropolis Technologies, an American artificial intelligence company founded by former ParkMe CEO Alexander Israel with co-founders Travis Kell, Peter Fisher, and Courtney Fukuda, uses computer vision and deep-learning a…
Kikitora, a San Francisco company founded by technical artist Astrid Wilde, has raised $19.7 million in a securities offering to 43 accredited investors, according to a Form D filed with the U.S. Securities and Exchange …
Torc Robotics, a Daimler subsidiary, is hiring a Machine Learning Engineer II for 3D Perception with a salary of $153k–184k/yr, remote or in Ann Arbor, MI, Fort Worth, TX, or Blacksburg, VA. The role involves developing …
Apple is developing an iOS feature called 'Apple Reference Image' that will embed provenance metadata into iPhone photos at capture, allowing users to verify images aren't deepfakes. The feature, found in iOS 27 beta 5, …
NXP introduced the FRDM-IMX95-PRO development board based on the i.MX 95 processor, featuring 10GbE, Wi-Fi 6, Bluetooth 5.4, 802.15.4, dual M.2 Key-M slots, 16 GB LPDDR5-6400 memory, and 32 GB eMMC flash. The board targe…
Abbott launched Libre Assist, an AI-powered tool using image recognition to predict how meals affect glucose levels, at CES on January 5, 2026. The feature extends the FreeStyle Libre continuous glucose monitoring platfo…
GEEKOM's IT13 Max mini PC, powered by the 16-core Intel Core Ultra 9 185H processor, delivered strong performance in Windows 11 Pro testing, with AI benchmarks, 4K/8K video playback, and 2.5GbE/WiFi 6 networking all perf…
Researchers introduced Power Foam, a differentiable 3D representation that unifies rasterization and ray tracing by generalizing Voronoi foams to bounded power diagrams, achieving rasterization performance competitive wi…
SpatialClaw, a training-free framework that uses code as the action interface for spatial reasoning, achieves 59.9% average accuracy across 20 benchmarks, outperforming the recent spatial agent by +11.2 points. The frame…
Researchers introduced a novel think-answer distillation framework that masks salient reasoning prefixes to force compact vision-language models to anchor their thinking on visual evidence, reducing visual forgetting. Th…
A new study identifies Relevant Visual Information Shift (RVIS) during decoding as the primary cause of performance degradation in visual token pruning methods for Multimodal Large Language Models (MLLMs) on complex reas…
Seeing Machines, an AIM-listed car tech firm, reported a 45% jump in revenue to $76.3m for the fiscal year, driven by a 135% surge in royalties to $33.9m after European Union safety legislation mandated camera-based driv…
Australian unicorn SafetyCulture has rebranded to Mitti, a move founder Luke Anear says reflects the startup's expansion beyond safety checklists into AI-powered computer vision and insurance. The $2.4 billion company, w…
NiceShot AI, a computer vision project developed over 26 months, automatically converts long gameplay recordings into structured event data, highlight clips, and session statistics using a pipeline of YOLO detection, OCR…
Researchers introduced a GPU-accelerated framework for segmenting anisotropic 3D microscopy volumes without dense annotations, achieving accuracy matching inter-expert agreement. The method, applied to kidney glomerular …
Researchers propose LAMDA (Language-Anchored Model for Direction Alignment), a training framework that improves traffic sign recognition robustness against physical adversarial attacks without using adversarial examples …
A study from the AI City Challenge 2026 Track 1 finds that a geometry-first RGB-only pipeline achieves 13.0 3D HOTA (51.6 LocA) in multi-camera 3D tracking under Sim2Real, while a pseudo-LiDAR approach using monocular de…
An evaluation of 19 unsupervised anomaly detection models on the BowTie manufacturing dataset found that performance is less stable than on standard benchmarks like MVTec AD, highly sensitive to preprocessing, and incons…
A study of three generative vision-language models on chest radiographs found that reference agreement does not transfer reliably across institutions, with the best estimation strategy achieving a mean Brier score of 0.0…
A new multimodal framework combining Swin Transformer image features with clinical metadata achieved 92.55% test accuracy and a 91.33% macro F1-score on a public dataset for skin lesion classification, outperforming unim…