Today, Weibo is testing the integration of its Smart Search function with the DeepSeek large model. Weibo CEO Wang Gaofei has showcased the testing effects of related features multiple times on the platform, including intelligent analyses of hot topics such as the impact of increased social security fees on rider incomes. The tests demonstrate that the DeepSeek R1 model can effectively integrate existing discussion content on the Weibo platform, providing users with clear topic summaries and analytical conclusions. The introduction of this feature will not only enhance the quality of Weibo's search and user experience but also indicates the platform's move toward a more comprehensive intelligent service.

Early this morning, OpenAI announced an important update regarding the ChatGPT search feature. Users can now directly access the ChatGPT search engine without logging into an account. This change not only broadens the accessibility of ChatGPT but also positions it in direct competition with traditional search engines like Google and Bing.

MRI images have long been a significant challenge in medical imaging analysis due to their complexity and large data volume. To train large language models (LLMs) for MRI analysis, developers have had to slice the captured images into 2D images. While this approach is feasible, it limits the model's ability to analyze complex anatomical structures, particularly in intricate cases such as brain tumors, skeletal diseases, or cardiovascular conditions. Image source note: Image generated by AI, licensed by Midjourney. However, GE Healthcare this year...

In the field of video analysis, the persistence of objects is an important cue for humans to understand that objects still exist even when completely occluded. However, current object segmentation methods mainly focus on visible (modal) objects, lacking the capability to handle non-modal (visible + invisible) objects. To address this issue, researchers proposed a two-stage method based on diffusion priors, Diffusion-Vas, aimed at improving the effectiveness of non-modal segmentation and content completion in videos, enabling the tracking of specified targets within the video and using diffusion models to complete the occluded parts.

With the rapid development of artificial intelligence, the integration of visual and language capabilities has led to groundbreaking advancements in visual language models (VLMs). These models aim to simultaneously process and understand both visual and textual data, being widely applied in scenarios such as image captioning, visual question answering, optical character recognition, and multimodal content analysis. VLMs play a significant role in developing autonomous systems, enhancing human-computer interaction, and creating efficient document processing tools, successfully bridging the gap between these two data modalities. However, there are challenges in handling high-resolution visual data and diverse textual input.

EndlessAI, a four-year-old AI startup, recently launched its iOS application Lloyd, which has attracted over 50,000 users just three months after its quiet release. What sets Lloyd apart is its proprietary video streaming and encoding technology, which combines users' real-time videos with AI models to support a variety of tasks, from bike repair to storytelling. Currently, 41% of users engage with the application daily. Although Lloyd has not yet reached the user levels of ChatGPT.

In the global fintech landscape, artificial intelligence is reshaping the way data is analyzed. London-based fintech company 9fin has recently completed a $50 million Series B funding, which will propel its AI-driven debt capital market analysis platform to the next level. Co-founder and CEO Steven Hunter stated that 9fin's core mission is to provide market professionals with smarter and faster data insights. Co-founder and CTO Huss El-Sheikh emphasized the importance of investing in top talent.

SenseTime Technology recently announced the upgrade of its Office Raccoon tool to version 2.0, evolving into an 'AI-native all-in-one creative space' that integrates various AI functions to enhance office efficiency. The core features of the new version revolve around the 'Raccoon Three-Step Method (PAW)', which includes Planning, Analyzing, and Writing, aiming to cover multiple aspects of work and learning. Office Raccoon 2.0 has enhanced data analysis capabilities and introduced document parsing abilities, simplifying tasks to save time and increase efficiency.

Artificial intelligence is quietly transforming the diagnostic methods in the field of mental health. A research team from Kaunas University of Technology has developed a revolutionary depression diagnosis model that employs multimodal analysis of voice and EEG data, paving the way for precise identification of mental health issues. The core of this research lies in breaking the limitations of traditional single-data diagnostics. The research team chose voice as a key data source because it can subtly reflect emotional states. Speech rate, tone, and emotional energy can all serve as potential signals of depression.