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Researchers in China have unveiled the world's first three-dimensional atlas of a brain-computer interface at the micrometer scale. This groundbreaking achievement significantly improves the safety and precision of brain surgery involving BCIs.

Recently, a miniature deep-sea multi-modal robot jointly developed by Beihang University, the Institute of Deep-Sea Science and Engineering of the Chinese Academy of Sciences, and Zhejiang University, was successfully published in the top international academic journal Science Robotics. This robot has milestone significance in ocean exploration and scientific research, particularly in deep-sea applications. Measuring less than 50 centimeters long and weighing only 1500 grams, this remarkable robot can perform multi-modal movement at a depth of 10,000 meters. This means it can not only swim, but also glide and crawl, demonstrating exceptional capabilities.

Kunlun Wanwei has open-sourced its Skywork R1V multimodal reasoning model, marking a significant advancement in Chinese AI capabilities. This powerful model represents a major leap forward in the field.

Android Studio now integrates Gemini, enabling developers to upload images and receive corresponding UI code. This new multimodal functionality simplifies UI development by leveraging AI-powered image processing and code generation.

On March 6th, the Beijing Academy of Artificial Intelligence (BAAI) announced the open-sourcing of its multimodal vector model, BGE-VL. This achievement marks a significant breakthrough in the field of multimodal retrieval. The BGE-VL model achieves state-of-the-art results on various multimodal retrieval tasks, including image-text retrieval and compositional image retrieval, significantly improving the performance of multimodal retrieval.

Samsung recently announced that the Galaxy S25 series launched in the Chinese market will now integrate the DeepSeek-R1 large language model, significantly enhancing its AI functionality. According to Samsung China, users can access features including in-depth reasoning, internet search, emotional intelligence, contextual memory, and visual analysis without downloading additional apps or registering accounts. Simply update the Samsung Members app to the latest version or access DeepSeek-R1 through Samsung's Smart Home or Bixby's SmartThings.

In recent years, significant progress has been made in artificial intelligence technology, but challenges still exist between computational efficiency and multi-functionality. Many advanced multi-modal models, such as GPT-4, typically require substantial computational resources, limiting their use on high-end servers and making it difficult for intelligent technologies to be effectively utilized on edge devices like smartphones and tablets. Furthermore, real-time processing of tasks such as video analysis or speech-to-text still faces technical barriers, highlighting the need for efficient and flexible AI models to achieve seamless performance under limited hardware conditions.

Recently, Alibaba Damo Academy launched a multi-modal large language model named Valley 2, designed for e-commerce scenarios. It aims to enhance performance across various fields and expand the application boundaries of e-commerce and short video scenarios through a scalable vision-language architecture. Valley 2 utilizes Qwen 2.5 as its LLM backbone, paired with the SigLIP-384 visual encoder, incorporating MLP layers and convolution for efficient feature transformation.

The Alibaba Cloud Bairen Model Service Platform recently launched the 'Real-Time Audio and Video Interaction' feature, enabling users to easily build multi-modal AI applications without the need for programming knowledge. This new feature allows users to quickly integrate AI models into Web, iOS, and Android applications and share them with others. Users can create intelligent agent applications through simple steps: first, create a new intelligent agent application, then select and configure the required text, speech, or visual understanding models on the Alibaba Cloud Bairen platform. The platform offers over 200 large models, including

Recently, a research team from the University of Illinois at Urbana-Champaign, Sony AI, and Sony Group introduced a new technology called MMAudio, which aims to achieve high-quality audio synthesis from videos through multi-modal joint training. The core innovation of MMAudio is its ability to generate synchronized audio using video and text inputs, thereby expanding the application scenarios for audio generation. MMAudio is designed to support generating sound effects that align with video content from either video or text inputs.