Shanghai Jiao Tong University x ShangHai Creation x Rui Jin Hospital Unveil CX-Mind: Chest X-ray Diagnosis Enters the Era of 'Verifiable Reasoning'，through multimodal large models and reinforcement learning technology, enhancing the explainability and clinical utility of medical imaging AI.

Gemma 4 12B features an encoder-free multimodal architecture that runs locally on 16GB VRAM devices with native audio support. By eliminating separate vision and audio encoders, it reduces latency and pairs with a dedicated MTP model for faster inference, marking the first mid-sized multimodal model with a macOS desktop app for fully offline interaction.

VAST secured nearly $200M in new funding and officially disclosed its world model roadmap, Project Eden, pioneering a decoupled architecture of state evolution and visual rendering to enable persistent multi-user interaction, modular reuse, and linearly scalable compute for AI-native sandboxes and embodied intelligence simulation.

NVIDIA Cosmos 3 is the first open-source omni-model for physical AI, integrating world generation, physical reasoning, and action generation into one unified system. Built on MoT architecture, it supports robotics, autonomous driving, and synthetic data pipelines via Hugging Face and Diffusers.

NVIDIA launches Cosmos 3, the first unified multimodal model integrating language, video, sound, and action inputs/outputs, built on Mixture of Transformer architecture, open-sourced with weights available on Hugging Face, achieving top scores across physical AI benchmarks including Robo Lab, PiBench, and Vintage.

ZiBianLiang Robotics launched WALL-WM, the world’s first event-level prediction embodied world model, replacing frame-based prediction with semantic events (e.g., 'grasp', 'place'), significantly improving cross-scenario generalization and action robustness.

iFLYTEK’s first AI glasses—weighing only 40g, featuring end-to-end speech translation and lip-motion noise cancellation—embed translation into real-world workflows, directly addressing the industry’s 30%–50% return rate; its success stems from system-level engineering and years of translation scenario data, not hardware spec racing.

Ophiuchus-7B achieves a mean score of 68.0 on 8 medical VQA benchmarks, surpassing OpenAI-o3 (62.2), Gemini 2.5 Pro (61.8), and GPT-5 (59.9). The core breakthrough is the new ‘Think with Images/Videos’ paradigm: models actively invoke tools like SAM2 and BiomedParse during reasoning to re-examine key regions/moments, making visual evidence an integral part of cognition—not just input.

GPT-4标志着大型语言模型从实验性研究向实用化AI平台的转变，引入多模态处理和对齐技术。

The LingBot-VA model developed by Ant Group and HKUST was accepted by RSS 2026, enabling robots to reason and act in real-time.

Genesis AI unveiled GENE-26.5, its first general-purpose robot foundation model, capable of complex tasks like cracking eggs, solving Rubik's cubes, and playing piano—all autonomously with minimal real-world fine-tuning data.

A 15-person Chinese team, Luma AI, launched Uni-1.1, an AI image model that integrates reasoning and generation, slashes costs by 50%, and achieves top-3 global ranking on Arena.ai—offering the most controllable, scalable solution for brand visual production beyond OpenAI and Google.

Senqi AI 使用 Milvus 向物理机器人注入长期语义记忆能力，解决真实世界任务中环境动态、任务无界、指令模糊和错误高成本等核心挑战。

普林斯顿Zhuang Liu指出：AI性能瓶颈不在架构创新，而在数据质量与记忆机制；视觉是多模态枢纽但受算力制约；语言模型已具备强抽象世界模型。

NVIDIA 推出 Nemotron 3 Nano Omni，支持文本、图像、视频和音频的多模态理解，性能领先多个复杂任务基准。

美团提出LARYBench，定义首个具身动作表征评测基准，验证通用视觉模型在动作泛化和控制精度上的优势。

IBISAgent通过多步交互决策重新定义医学图像分割，解决了隐式token导致的推理退化问题，显著提升分割精度。

NVIDIA launches Cosmos 3, an open omni-model for physical AI based on a novel mixture-of-transformers architecture, capable of generating physics-accurate synthetic video, serving as a world model and simulator, and enabling training for robotic and mobile intelligent systems.

Tsinghua University's AIR DISCOVER Lab open-sources UniLab, achieving 3-10x end-to-end training speedup through heterogeneous architecture, supporting local training on Mac and enabling humanoid robot training in minutes, marking the arrival of the minute-level era for embodied intelligence.

Stephen Batifol from Black Forest Labs introduces FLUX, an open-source visual generation model series emphasizing open research for sustainable AI development, with performance rivaling leading closed-source models.

清华大学AIR DISCOVER Lab等机构联合推出GS-Playground，这是一个专为视觉中心的机器人学习设计的新一代仿真框架，实现了高吞吐量并行物理仿真与高保真视觉渲染的融合，助力具身智能规模化训练，已被RSS 2026顶级会议录用。

自变量机器人发布全球首个世界统一模型WALL-B，打通视觉、听觉、语言和触觉模块，赋予机器人原生多模态能力和持续进化能力。

清华AIR联合多家机构开源GS-Playground仿真框架，首次融合高吞吐并行物理仿真与高保真视觉渲染，显著提升具身智能规模化训练效率。

Crossover Intelligence topped the World Arena Track 2 with its DSCFuncWorld, outpacing the second-place model by a significant margin and validating end-to-end data generation, strategy training, and task execution capabilities.

Gemma-4 12B is an encoder-free, unified multimodal model that runs directly on laptops with 16GB VRAM. It matches the performance of the 26B MOE with less than half the memory footprint, ships with Hermes and agent tools, macOS Edge Gallery, and RTLM, and is released under Apache 2.0.