Computer vision

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What is Anti-Spoofing and Its Techniques for Liveness Detection in Face Recognition?

Facial recognition has become a key pillar of present security systems in smartphone authentication, banking, and surveillance. However, with the increasing application of facial recognition, the likelihood of spoofing attacks rises, whereby imposters use artificial biometric inputs to bypass face recognition systems. Anti-spoofing technologies have emerged as the most effective remedy to this problem by […]

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NVIDIA AI releases C-RADIOv4 vision backbone unifying SigLIP2, DINOv3, SAM3 for classification, dense prediction, segmentation workloads at scale

How do you combine SigLIP2, DINOv3, and SAM3 into a single vision backbone without sacrificing dense or segmentation performance? NVIDIA’s C-RADIOv4 is a new agglomerative vision backbone that distills three strong teacher models, SigLIP2-g-384, DINOv3-7B, and SAM3, into a single student encoder. It extends the AM-RADIO and RADIOv2.5 line, keeping similar computational cost while improving

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Waymo Introduces the Waymo World Model: A New Frontier Simulator Model for Autonomous Driving and Built on Top of Genie 3

Waymo is introducing the Waymo World Model, a frontier generative model that drives its next generation of autonomous driving simulation. The system is built on top of Genie 3, Google DeepMind’s general-purpose world model, and adapts it to produce photorealistic, controllable, multi-sensor driving scenes at scale. Waymo already reports nearly 200 million fully autonomous miles

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Google Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding

Frontier multimodal models usually process an image in a single pass. If they miss a serial number on a chip or a small symbol on a building plan, they often guess. Google’s new Agentic Vision capability in Gemini 3 Flash changes this by turning image understanding into an active, tool using loop grounded in visual

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Antonio Torralba, three MIT alumni named 2025 ACM fellows

Antonio Torralba, Delta Electronics Professor of Electrical Engineering and Computer Science and faculty head of artificial intelligence and decision-making at MIT, has been named to the 2025 cohort of Association for Computing Machinery (ACM) Fellows. He shares the honor of an ACM Fellowship with three MIT alumni: Eytan Adar ’97, MEng ’98; George Candea ’97,

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Salesforce AI Introduces FOFPred: A Language-Driven Future Optical Flow Prediction Framework that Enables Improved Robot Control and Video Generation

Salesforce AI research team present FOFPred, a language driven future optical flow prediction framework that connects large vision language models with diffusion transformers for dense motion forecasting in control and video generation settings. FOFPred takes one or more images and a natural language instruction such as ‘moving the bottle from right to left’ and predicts

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Black Forest Labs Releases FLUX.2 [klein]: Compact Flow Models for Interactive Visual Intelligence

Black Forest Labs releases FLUX.2 [klein], a compact image model family that targets interactive visual intelligence on consumer hardware. FLUX.2 [klein] extends the FLUX.2 line with sub second generation and editing, a unified architecture for text to image and image to image, and deployment options that range from local GPUs to cloud APIs, while keeping

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From cloud to factory – humanoid robots coming to workplaces

The partnership announced this week between Microsoft and Hexagon Robotics marks an inflection point in the commercialisation of humanoid, AI-powered robots for industrial environments. The two companies will combine Microsoft’s cloud and AI infrastructure with Hexagon’s expertise in robotics, sensors, and spatial intelligence to advance the deployment of physical AI systems in real-world settings. At

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30 Best Data Science Books to Read in 2026

Data science powers decision-making across modern businesses, from data preparation and automation to advanced analytics and machine learning. Learning it requires a strong foundation in mathematics, statistics, programming, and practical problem-solving. The good news is that data science can be self-learned with the right resources and consistent practice. Books remain one of the most effective

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Multilingual Sentiment Analysis

Multilingual Sentiment Analysis – Importance, Methodology, and Challenges

The internet has become a massive, always-on focus group. Customers share opinions in product reviews, app store comments, support chats, social media posts, and community forums—often switching between languages and dialects in a single conversation. If you only analyze English, you’re ignoring a huge portion of what your customers actually feel. Recent estimates suggest roughly

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