2357 articles tagged with Multimodal
Google DeepMind's Gemini Robotics 2 extends its vision-language-action model to control a wide range of robotics platforms, from tabletop arms to humanoids, with added higher-level...
AI-103T00-A exam prep: study notes for Microsoft Azure AI Engineer certification (34 modules across generative AI, agents, NLP, and computer vision)
Why I’m excited (and a little uneasy) about Android Halo’s always-on AII love Google’s vision for Android Halo. I don’t love how much trust it demands in return.https://www.android...
[bapx 2026] x8D-Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion form 8 bit bytes as native tokens
Chart Deception in Vision-Language Models: From Vulnerability to Mitigation is changing the game. Here's everything you need ...
Reinforcement learning (RL) post-training of Vision-Language-Action (VLA) models has shown strong promise for robotic manipulation. Among RL methods, critic-based approaches rely o...
The bleeding edge of AI automation isn't just about making Large Language Models (LLMs) smarter; it's...
It’s hard to picture a more nightmarish vision of our #AI future than this…#ElonMusk still thinks there’s a 10 to 20 per cent chance that AI wipes out civilisation, but his “philos...
Steriline is enhancing and strengthening the use of AI in its solutions, and is introducing two intelligent technologies that work in synergy: OmniAI Vision and OptiLAIN.
TAIPEI, July 30, 2026 /PRNewswire/ -- As artificial intelligence advances rapidly, Vision AI has become a core pillar of next-generation applications such as smart vehicles, roboti...
A guided tour of spatial reasoning in VLMs — from BLINK's perception gap to GR3D — read through one lens: the representational mismatch between language tokens and continuous 3D ge...
Long visual context poses a challenge for vision-language models: performance degrades as the number of distractors grows, and processing all tokens at once is computationally infe...
Multimodal agents for visual question answering increasingly operate as multi-step trajectories that interleave perception, retrieval, and reasoning, yet evaluation still largely r...
Despite the impressive visuomotor capabilities enabled by Vision-Language-Action (VLA) models, their performance often degrades on challenging and out-of-domain tasks. Recent test-...
Multimodal on-policy distillation (OPD) transfers fine-grained visual knowledge by supervising student-generated trajectories with a privileged-view teacher. Yet its next-token cor...
Let me tell you a story about failure. December 2024. I'm sitting in my Wrocław apartment after an...
If you have spent any significant amount of time maintaining end-to-end (E2E) test suites or web...
Mark Zuckerberg says Meta aims to bring AI superintelligence to billions through its apps while debate over user control continues.
The attacks on science continue, and billions are shifted into artificial "intelligence."
A new generation of intelligent technologies that observe, understand and document the process as required by Annex 1 and Annex 22
AUSTIN, Texas, July 29, 2026 (GLOBE NEWSWIRE) -- LEO Technologies (“LeoTech”) announces the launch of Verus Vision AI, an agentic AI video intelligence solution purpose-built for c...
Vision-language-action (VLA) models commonly adopt an LLM-centric V to L to A pathway, where visual observations are projected into the representation space of a large language mod...
Evaluating whether a vision-language model (VLM) can act through a physical body is challenging. The outcome of an action couples the VLM's decision with motor control. When a task...
Multimodal large language models increasingly use sketches, annotations, tools, and intermediate images during reasoning, but it remains unclear whether they truly rely on these vi...