916 articles tagged with Multimodal
India is well-positioned to become a global leader in Artificial Intelligence (AI) innovation, particularly in multilingual and multimodal AI solutions with worldwide relevance, ac...
Official Model Studio CLI（阿里云百炼 CLI）built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.
Multimodal large language models are increasingly deployed as long-horizon agents, where memory must do more than recall: it must track an evolving world, revise what has gone stal...
Vision-Language Models (VLMs) often struggle with robust 3D spatial reasoning. Prevailing methods that rely on fine-tuning with 3D visual question-answering (VQA) datasets may over...
Vision-Language Models (VLMs) have achieved substantial progress across a wide range of understanding and reasoning tasks, driven by large-scale image-text training aimed at multim...
Large Language Models (LLMs) have advanced autonomous agents from deep search, which retrieves concise factual answers, to deep research, which synthesizes scattered evidence into ...
Embodied intelligence is often studied through specialized models for individual tasks such as manipulation or navigation, resulting in fragmented capabilities and limited generali...
Recent advances in Vision-Language Models (VLMs) have achieved impressive performance across many tasks, yet prior studies report unsatisfactory performance when applying large lan...
Vision-language models (VLMs) achieve strong performance on spatial reasoning benchmarks, yet it remains unclear whether this reflects structured 3D understanding or reliance on st...
Vision Language Models (VLMs) enable a unified model to solve various vision tasks through prompting. They have shown promising performance in semantic understanding. However, 3D u...
Recent work has begun to equip vision-language-action (VLA) policies with explicit intermediate reasoning. In embodied control, however, textual chain-of-thought is a poor fit: irr...
While linear-complexity attention mechanisms offer a promising alternative to Softmax attention for overcoming the quadratic bottleneck, training such models from scratch remains p...
Large Vision-Language Models (LVLMs) map visual inputs into dense token sequences, imposing a quadratic computational bottleneck for inference. Elastic visual-token compression add...
Music recommendation systems typically treat songs as opaque tokens, relying on collaborative interaction histories which overlooks semantic or acoustic content. Prior work has exp...
New York City, NY, May 27, 2026 (GLOBE NEWSWIRE) -- Sharp Vision and the Counterfeit Supplement Market Overview The Sharp Vision 2026 warning has emerged as a significant market is...
Honestly, when I first saw the numbers I didn't believe them. DeepSeek V4 Flash at $0.25/M output vs...
Sam Altman's AI Vision Sparks Major Backlash Online | PakCan News Sam Altman says the future is one where intelligence ...
A practical security-operations view of multimodal AI for SOC, incident response, phishing triage, cloud reviews, WAF analysis, vulnerability management, audit evidence, and local ...
🚀 Fastest-growing AI projects today1. The integration of vision and voice components into language models becoming increasing...2. The jingyaogong/minimind-o repository stands out ...
Current vision-language models (VLMs) typically stitch together separate image encoders and language decoders via multi-stage alignment, a modular framework that inevitably fragmen...
Vision-language models with extended reasoning succeed on complex problems, but many real-world problems require external tools that internal reasoning alone often cannot resolve. ...
Visual outcomes are increasingly central to multimodal large language models, making reliable and fine-grained verification essential for scaling generalist foundation models. In t...
Spatial intelligence requires visual representations that capture both semantic objects and geometric structure in the physical world. To support this, two major pre-training schem...
🚀 Fastest-growing AI projects today1. bytedance/Lance a lightweight native unified multimodal model designed for image and vi...2. With a growth score of 67.30, it appears to be gr...