1062 articles tagged with Multimodal
(MENAFN - Robotics & Automation News) " itemprop="text"> Scientists in Japan say they have developed a new approach – dubbed 'HEAPGrasp' – that improves robots' grasping success ra...
Stop paying gpt-4o prices for tasks gpt-4o-mini handles just as well. Three working approaches to automatic complexity routing: heuristics, classifier calls, and outcome-based Thom...
Recent multimodal face generation models address the spatial control limitations of text-to-image diffusion models by augmenting text-based conditioning with spatial priors such as...
📰 Computer Vision and AI Conference 2026: OpenCV & SID Live in LA — May 4The annual Computer Vision and AI conference returns this May with a special one-day event in Los Angeles, ...
Multimodal Large Language Models (MLLMs) achieve stronger visual understanding by scaling input fidelity, yet the resulting visual token growth makes jointly sustaining high spatia...
🎮 "If I release something official, I want it to match my vision" - Undertale and Deltarune creator Toby Fox explains why no translations other than Japanese have happenedIt's not ...
Recent progress in deep research systems has been impressive, but evaluation still lags behind real user needs. Existing benchmarks predominantly assess final reports using fixed r...
One number: $109 billion. And a trial set for April 27. That is how a long-simmering conflict between Elon Musk and OpenAI has ...
📰 İnsanlar Tereddüt Ederse Büyük Modeller Neden Daha Üstün? GPT-4o ve AI Karar Verme Analizi (2026)İnsanların karar verirken tereddüt etmesi, büyük dil modellerinin avantajını artı...
Recent multimodal generation models have achieved remarkable progress on general-purpose generation tasks, yet continue to struggle with complex instructions and specialized downst...
Meituan has released LongCat-Next, a native multimodal AI model that treats text, images, and audio as equivalent tokens within a single architecture. Unlike conventional models th...
This is a submission for the Notion MCP Challenge What I Built MOMENTUM is an AI-powered...
Vision-language models are impressive—until you ask them something simple.A recent study shows that state-of-the-art systems struggle with basic visual tasks like counting shapes o...
MUMBAI- India has reached an important point in its journey with artificial intelligence. Over the past few years, both central and state governments have shown strong intent in ad...
Headphones with a camera to capture moments as you jam Discussion | Link
Vision-Language Models (VLMs) often yield inconsistent descriptions of the same object across viewpoints, hindering the ability of embodied agents to construct consistent semantic ...
Research agents have recently achieved significant progress in information seeking and synthesis across heterogeneous textual and visual sources. In this paper, we introduce MuSEAg...
The Orlando show hosted around 8,000 professionals from 92 countries marking the debut of a single yearly show with a big focus on technology.
📰 DeepSeek-Prover-V2 Outperforms GPT-4o in Neural Theorem Proving (2026)DeepSeek-Prover-V2 pushes the boundaries of neural theorem proving with recursive proof search and reinforce...
Multimodal Continual Instruction Tuning aims to continually enhance Large Vision Language Models (LVLMs) by learning from new data without forgetting previously acquired knowledge....
Recent advances in diffusion-based controllable visual generation have led to remarkable improvements in image quality. However, these powerful models are typically deployed on clo...
📰 Tian Gong AI Unveils 2026 Multimodal Model to Dominate Global AI RaceChinese AI startup Tian Gong AI has unveiled a groundbreaking multimodal model, signaling its entry into the ...
Understanding charts requires models to jointly reason over geometric visual patterns, structured numerical data, and natural language -- a capability where current vision-language...
Vision-language models (VLMs) achieve strong multimodal performance, yet how computation is organized across populations of neurons remains poorly understood. In this work, we stud...