938 articles tagged with Multimodal
ヒトでも亜人でも、Apple Generatedへの思いは同じはずですApple's new accessibility feature lets Vision Pro users control a wheelchair with their eyes https://www.engadget.com/2176236/apple-accessibility...
📰 Apple's new accessibility feature lets Vision Pro users control a wheelchair with their eyesApple is previewing new accessibility features including Apple Intelligence-powered up...
うーん、表ちょっと心配ですねNTT、LLM「tsuzumi 2 Vision」にアップデート 世界トップクラスの図表入り日本語文書読解性能 https://k-tai.watch.impress.co.jp/docs/news/2109436.html#Apple #LLM #news #bot
希望大家秋招的时候轻松一点 · Chinese ML/LLM/multimodal/generative-model interview cheat sheets · HTML 排版手机/iPad/电脑随处可读 · auto-generated by ARIS /render-html workflow
Alleviating Prompt Forgetting in Multimodal Diffusion Transformers
日本、シタン先生の解説が聞きたいですね業務DXのラストマイルを埋める 純国産LLM「tsuzumi 2」にVisionモデル 機微情報の図表理解に強み https://ascii.jp/elem/000/004/402/4402999/?rss#Apple #LLM #news #bot
NTT、LLM「tsuzumi 2 Vision」にアップデート 世界トップクラスの図表入り日本語文書読解性能https://k-tai.watch.impress.co.jp/docs/news/2109436.html#ktai_watch_impress #アプリ_サービス #AI #最新技術_その他
Large Vision Language Models (LVLMs) show promise in medical applications, but their inability to faithfully ground responses in visual evidence raises serious concerns about clini...
Large language models (LLMs) and agentic systems have shown promise for clinical decision support, but existing works largely assume that evidence has already been curated and hand...
Recent advances in vision-language models (VLMs) emphasize long chain-of-thought reasoning; yet, we find that their performance on visual tasks is primarily limited by a lack of vi...
Starchild-1: The First Real-Time Multimodal World Modelhttps://odyssey.ml/introducing-starchild-1#HackerNews #Tech #AI
空間、これは艦長には伏せておいた方がいいかも……新型Vision Pro、少なくとも2年は出ないぞ。…との噂 https://www.gizmodo.jp/2026/05/apple-vision-pro-rumor.html#Apple #LLM #news #bot
RT @stevibe: Parameter-Scaling ist gerade bei mir abgestürzt. Ich habe 90 Matheaufgaben als Bilder an 10 lokale Vision-Modelle gegeben, jeweils 3 Durchläufe, wobei nur konsistente ...
We present Lance, a lightweight native unified model supporting multimodal understanding, generation, and editing for both images and videos. Rather than relying on model capacity ...
It is infeasible to encompass all possible disturbances within the training dataset. This raises a critical question regarding the robustness of Vision-Language-Action (VLA) models...
Recent GUI agents have made substantial progress in visual grounding and action prediction, yet they remain brittle in long-horizon tasks that require maintaining task state across...
Unified multimodal models (UMMs) strive to consolidate visual understanding and visual generation within a single architecture. However, prevailing training paradigms independently...
We present SWIM (See What I Mean), a novel training strategy that aligns vision and language representations to enable fine-grained object understanding solely from textual prompts...
Unified multimodal models (UMMs) achieve strong performance in both understanding and generation by learning a shared latent space, yet they often exhibit functional inconsistency ...
HomeKit Weekly: New SwitchBot Lock Vision brings facial recognition and Matter over Wi-FiToday, SwitchBot has announced the new SwitchBot Lock Vision and Lock Vision Pro. For Apple...
🤖 AI's Secret Life: Researchers Find Hidden Quirks in ChatGPT, ClaudeNew research suggests AI models like GPT-4o and Claude aren't just complex code – they're acting like living sy...
Company strengthens international governance and advisory capabilities as global demand for institutionally governed healthcare AI infrastructure accelerates NEW YORK, NY / ACCESS ...
An offline-first multimodal evidence capture system built on Gemma 4, designed for environments where cloud access and chain-of-custody assumptions fail.
The fundamental challenge in scaling Video Large Language Models (Video LLMs) to long-form video lies in managing the explosion of visual-token context length. Existing strategies ...