There is a specific kind of magic in seeing a high-fidelity static photograph begin to breathe. For me, this project wasn’t about a…Continue reading on Medium »
Video editing has always had a dirty secret: removing an object from footage is easy; making the scene look like it was never there is brutally hard. Take out a person holding a guitar, and you’re left with a floating instrument that defies gravity. Hollywood VFX teams spend weeks fixing exactly this kind of problem. […]
The post Netflix AI Team Just Open-Sourced VOID: an AI Model That Erases Objects From Videos — Physics and All appeared first on MarkTechPost.
In the current landscape of computer vision, the standard operating procedure involves a modular ‘Lego-brick’ approach: a pre-trained vision encoder for feature extraction paired with a separate decoder for task prediction. While effective, this architectural separation complicates scaling and bottlenecks the interaction between language and vision. The Technology Innovation Institute (TII) research team is challenging […]
The post TII Releases Falcon Perception: A 0.6B-Parameter Early-Fusion Transformer for Open-Vocabulary Grounding and Segmentation from Natural Language Prompts appeared first on MarkTechPost.
I Built a Vision-Based Desktop Agent That Navigates by Screenshot. Here’s What Actually Works.DOM-based automation requires you to reverse-engineer someone else’s frontend and pray they don’t change it. They always change it.Source: Image by Resource D…
Why is everyone obsessed with YOLO? And no I don’t talk about the 2012 mantra “You Only Live Once”.Continue reading on Towards AI »
Heavy industry relies on people to inspect hazardous, dirty facilities. It’s expensive, and putting humans in these zones carries obvious safety risks. Swiss robot maker ANYbotics and software company SAP are trying to change that. ANYbotics’ four-legged autonomous robots will be connected straight into SAP’s backend enterprise resource planning software. Instead of treating a robot […]
The post SAP and ANYbotics drive industrial adoption of physical AI appeared first on AI News.
Multimodal AI models like GPT-5, Gemini 3 Pro, and Claude Opus 4.5 generate detailed image descriptions and medical diagnoses even when no image is provided. A Stanford study shows that common benchmarks obscure the problem.
The article AI mod…
I Built a Breast Cancer Detection System End-to-End. Here’s What I Actually Learned. (Part 1: Data & Pipeline)This isn’t a tutorial. It’s a breakdown of every decision, mistake, and insight from building a real ML pipeline on 300GB+ of raw mammogra…
A Deep Dive into “Out of Time: Automated Lip Sync in the Wild”IntroductionEver watched a badly dubbed movie where the lips don’t match the words? Or been on a video call where someone’s mouth moves out of sync with their voice? These sync issues are mo…
Moving from CNN’s Low-Level Visual Features to Deep Semantic Embeddings with SigLIP.Image by the author.Convolutional Neural Networks (CNNs) have important semantic limitations: while they capture low and mid-level visual features (such as edges, textu…