Tsinghua University Develops New Visual Language Model CogAgent to Enhance GUI Understanding and Navigation


Tencent and Tsinghua University jointly launched the AI music model SongGeneration 2, achieving significant breakthroughs in technical architecture and music quality, significantly surpassing existing open-source models and even rivaling top commercial products, effectively solving the 'plastic feel' problem in AI music.
Tokyo startup InfiniMind secures $5.8 million in seed funding, founded by a former Google employee, dedicated to developing AI infrastructure that transforms massive unused video and audio dark data into searchable structured business intelligence to address enterprise data processing challenges.
Tsinghua University releases the "Guidelines for the Application of Artificial Intelligence in Education", systematically regulating the use of AI on campus, covering core scenarios such as teaching and academic research. The content is divided into three parts: General Provisions, Teaching Section, and Section on Thesis and Practical Achievements. It emphasizes positive guidance and tiered management, aiming to promote the proper application of AI in the field of education.
Tsinghua University published a study in "Nature Machine Intelligence", introducing the new concept of "ability density", challenging traditional AI evaluation standards. The research emphasizes that attention should not only be paid to the number of model parameters, but also to the level of intelligence within each parameter, questioning the scale rule that larger models are necessarily more capable.
Tsinghua University and the Kuaishou Kirin team have collaborated to launch an SVG model that replaces VAE, solving the issue of semantic entanglement, with a 6200% improvement in training efficiency and a 3500% increase in generation speed, marking the gradual phase-out of VAE in the field of image generation.