The Shanghai Municipal Cyberspace Administration announced the latest registration notice for generative AI services, aimed at further promoting the innovative development and standardized application of generative AI in the city. According to the requirements of the 'Interim Measures for the Management of Generative AI Services', Shanghai has orderly carried out the filing work for generative AI services and registered services that call the registered model capabilities through API or other methods. As of now, Shanghai has added 9 newly registered generative AI services, bringing the total number of registered services to 63.

On December 24, the Shanghai Municipal Government Office announced the 'Work Plan for the Development of Medical Artificial Intelligence in Shanghai (2025-2027)'. The plan clarifies the main tasks and goals for the next three years, aiming to respond to the national strategic deployment of 'AI + Action'. By promoting deep integration of medical innovation and artificial intelligence, it seeks to transform Shanghai into a globally influential hub for innovation, application demonstration, and industrial development in medical AI technology.

In the age of AI, large language models (LLMs) are akin to martial arts secrets; their training processes consume massive computing power and data, much like martial arts experts who have spent years in secluded training. The release of open-source models is like these experts sharing their secrets with the public, but they come with certain licenses (such as Apache 2.0 and LLaMA 2 Community License) to protect their intellectual property (IP). However, the world can be treacherous, and incidents of 'shelling' are bound to occur. Some developers claim they have trained new LLMs when, in fact, they are using other foundational models (like Lla

Recently, a series of imaginative AI images have gone viral on social media, cleverly integrating the cute character 'Cute Cat' from a game into the urban landscape of Shanghai, sparking enthusiastic discussions among netizens. Xiaohongshu blogger 'Quyuan' presented a series of surreal cityscapes using AI technology. This adorable character seems to possess a magical presence: drifting on the Huangpu River like an inflatable boat, leisurely sitting under the Oriental Pearl Tower sunbathing, checking in in front of the Wukang Building, and even transforming into a plush airplane. These whimsical images instantly garnered 43,000 likes.

According to the Shanghai Municipal Science and Technology Commission, Shanghai has once again set a new record in medical technology. On November 6, Huashan Hospital's neurosurgery department successfully completed a pioneering clinical implant trial of a brain-computer interface, bringing hope to paralyzed patients for regaining autonomy in their lives. This groundbreaking technology was jointly developed by Borye Medical Technology and Professor Hongbo's team from Tsinghua University. Patient Xiao Dong, after being paralyzed for four years, successfully collected neural signals from the sensory-motor area of the brain using a brain-computer interface device the size of a coin. Unlike traditional invasive brain-computer interfaces, this system employs a wireless minimally invasive design.

The Traffic Police Division of the Pudong Branch of the Shanghai Public Security Bureau recently officially issued the first batch of identification plates designed specifically for autonomous driving equipment. The design features a combination of light blue and white with black text, starting with an abbreviation for the region followed by a combination of letters and numbers, and clearly labeled 'Autonomous Equipment' at the top. This marks a step towards the gradual integration of autonomous driving technology into the daily lives of the public. The issuance of identification plates for autonomous driving equipment is an important move for the development of smart traffic in Shanghai, and a significant milestone in the application of autonomous driving technology.

Tencent Youtu Lab has collaborated with the research team at Shanghai Jiao Tong University to introduce a revolutionary knowledge enhancement method, paving new avenues for optimizing large models. This innovative technology discards the limitations of traditional model fine-tuning, directly extracting knowledge from open-source data, significantly simplifying the model optimization process, and achieving outstanding performance that surpasses existing state-of-the-art technologies (SOTA) across multiple tasks. In recent years, while large language models (LLMs) have made significant progress in various fields, they still face numerous challenges in practical applications. Traditional model fine-tuning methods...

The expert team formed by the MIFA Laboratory of the Shanghai Jiao Tong University Qingtuan Research Institute and the Endocrinology Department of Zhongshan Hospital affiliated with Fudan University has recently developed a dedicated large model for diabetes named Diabetica. This model integrates the language processing capabilities of large models with specialized knowledge in diabetes, aiming to provide intelligent support for doctors, patients, and medical education. The team employed a novel framework to establish a comprehensive data processing system, created high-quality datasets and evaluation benchmarks, and fine-tuned the large language model, significantly enhancing its performance on diabetes-related tasks.

At the 2024 WAIC Scientific Frontier Main Forum, the OpenDataLab team from the Shanghai Artificial Intelligence Laboratory (Shanghai AI Lab) launched a new intelligent data extraction tool called MinerU. This tool aims to simplify the AI data processing workflow and assist AI researchers in extracting high-quality data from vast amounts of documents.

Tencent Youtu Lab and Shanghai Jiao Tong University released a comprehensive review focusing on dataset evaluation and selection for instruction tuning to enhance large model performance. The study aims to help large models grasp the essence of natural language processing by analyzing data quality, diversity, and importance to guide the construction of efficient and critical datasets. It highlights that data quality directly impacts tuning effect....

The LSLM full-duplex language model developed in collaboration between Shanghai Jiao Tong University and ByteDance revolutionizes traditional AI assistant interaction by enabling real-time conversation where users can listen while speaking. The core advantage of LSLM lies in its ability to simultaneously process speech input and generate output, significantly enhancing the natural flow of dialogue. By integrating streaming self-supervised learning with a token-based decoder, this model supports real-time speech interaction and performs exceptionally well even in noisy environments. LSLM's mid-term fusion strategy strikes the optimal balance between speech generation and real-time interaction, demonstrating impressive noise resistance.

The AI painter struggles to generate specific scenes like 'Ice Cola in a teacup,' highlighting the issue of text-image misalignment. Zhao Juntu, a PhD student at Shanghai Jiao Tong University, and his team discovered that even the most advanced AI models have difficulty accurately understanding and realizing complex concepts described in text, such as the difference between a transparent glass cup and a traditional teacup. To address this issue, they proposed a Mixture of Concept Experts (MoCE) method, utilizing large language models to help AI grasp hidden concepts, thereby enabling more precise control over text.

The Shanghai Cyberspace Administration recently announced that 11 generative AI services have passed inspection and completed registration, bringing the total number of registered services to 20. This initiative aims to promote the healthy development and standard application of generative AI, implementing relevant interim management measures. The announcement emphasizes that services that directly call registered model capabilities through APIs or other means, especially those with public opinion attributes or social mobilization capabilities, must undergo registration. Existing generative AI applications or features must prominently display their registration number either in a notable position or on their product detail pages. This measure aims to ensure the safe use of the public.