A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
VLJ tracks meaning across video, outperforming CLIP in zero-shot tasks, so you get steadier captions and cleaner ...
Milestone announced the traffic-focused VLM, powered by NVIDIA Cosmos Reason, supports automated video summarization in ...
Dec 16 2025 We released the preprint and Project Page for Sparse-LaViDa, an efficient optimization technique for training and sampling from unified multi-modal dLLMs based on LaViDa. Oct 2025: We ...
BioRender provides a rich set of tools for creating highly accurate images from biology. The tools provide a visual language to support AI in the biological domain. Notation and diagrams are essential ...
CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...
CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...
Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...
Study Shows Today’s Top AI Models Struggle With Visual Reasoning—Raising Concerns for Real-World Use
Artificial intelligence systems may be getting faster, larger, and more multimodal by the month, but a new empirical study suggests that many of today’s most advanced models still trip up on the kind ...
Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...
Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...
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