Search AI Products and News

NVIDIA officially released Llama Nemotron Nano VL on June 3, 2025. This compact visual-language model (VLM) is specially optimized for document intelligence processing. The model topped the OCRBench v2 benchmark test, showcasing its outstanding capabilities in handling complex documents, charts, and video frames. With efficient inference performance and flexible deployment options, Llama Nemotron Nano VL provides enterprises with solutions from the cloud.

Recently, Stanford University released a comprehensive evaluation of clinical medical AI models. DeepSeek R1 stood out as the champion among nine leading large models, achieving a 66% win rate and a macro average score of 0.75. The highlight of this evaluation is that it not only focuses on traditional medical license exam questions but also delves into the daily work scenarios of clinical doctors, providing more practical assessments. The evaluation team developed an integrated assessment framework called MedHELM, which includes 35 benchmarks covering 22 subtasks in medicine.

The official release of Tencent HunYuan 3D generative model version 2.5 marks a significant leap into the ultra-high-definition era of 3D generation technology. This upgrade not only achieves a qualitative leap in modeling precision but also provides users with a more efficient and convenient creative experience, further lowering the barrier to entry for 3D content creation.

Hugging Face recently released its top model leaderboard for the second week of April 2025, encompassing various modalities such as text generation, image generation, and video generation. This highlights the rapid iteration and diverse applications of AI technology. According to AIbase, the models featured in this week's leaderboard not only showcase the innovative vitality of the open-source community but also reflect technical trends such as low-precision training and multi-modal generation. Below is an analysis of the leaderboard highlights, with professional insights provided by the AIbase editorial team. Text Generation Models: Balancing Efficiency and Specialization

Today, on the second anniversary of Baichuan Intelligent's founding, the company's founder and CEO Wang Xiaochuan released an all-staff letter, reviewing the past two years' achievements and shortcomings, and clarifying the company's current and future development direction. Wang Xiaochuan emphasized that Baichuan Intelligent will firmly pursue its technological vision and business direction in the medical field, promoting the deep application of AI technology in the medical industry through the path of "creating doctors - changing paths - promoting medicine".

A medical team at Ningbo University Affiliated People's Hospital recently used artificial intelligence to successfully detect early-stage pancreatic cancer in a seemingly routine case. 65-year-old Mr. Qiu visited the hospital due to dizziness for three consecutive days. While routine examinations revealed no abnormalities, the AI system, through in-depth analysis of his imaging data, issued a timely alert indicating a potential risk of pancreatic cancer. This case utilized a "Plain CT Scan + AI" approach, a cutting-edge technology that...

Recently, Professor Zhai Jidong's team from the Institute of High Performance Computing at Tsinghua University, in collaboration with Tsinghua-affiliated innovative enterprise, Qingcheng Extreme Intelligence, announced the open-sourcing of Chitu, a groundbreaking large model inference engine. This innovative technology marks another significant breakthrough for China in the AI field, particularly in inference engine development. A core highlight of the Chitu engine is its ability to natively run FP8 precision models on non-Nvidia Hopper architecture GPUs and various domestic chips.

Insilico Medicine, a biopharmaceutical company focused on generative artificial intelligence, today announced the successful completion of a $110 million Series E financing round. The round was led by a private equity fund under Value Partners Group (HKG:0806), Pudong New Area Investment, Shanghai Pudong Development Bank Group, Xicheng Capital, and Yixing Guokong. Several new investors focused on the industry and technology sectors also participated, alongside continued support from existing investors.

Insilico Medicine recently announced the closing of a $110 million Series E financing round, led by Value Partners, a Hong Kong-based firm, with participation from existing and new investors. The funds will be used to refine the company's AI models and support pivotal clinical trials for its lead candidate drug in idiopathic pulmonary fibrosis. The company's small molecule inhibitor, ISM001-055, was recently officially named rentosertib by the U.S. Adopted Names Council, marking a significant milestone for this AI-generated drug candidate.

A German research team has developed and released FIORA, an open-source graph neural network (GNN) model designed to improve the accuracy of mass spectrometry analysis. This advancement is expected to significantly contribute to the progress of precision medicine.

The University of Science and Technology of China (USTC) recently announced a significant breakthrough. Professor Sun Cheng's research group and collaborators have successfully developed the "TIMES" scoring system for predicting liver cancer recurrence, and have translated it into a publicly available, free AI diagnostic tool. The findings were published in the international academic journal Nature on March 13th, Beijing time. Liver cancer, the third leading cause of cancer-related deaths globally, has a recurrence rate of up to 70% after surgical resection. Accurate prediction of liver cancer recurrence has long been a medical challenge. The spatial distribution of immune cells in the tumor microenvironment significantly impacts patient prognosis, but previously...

A significant advancement in Chinese medicine has been achieved with the recent clinical deployment of "Xiehe-Taichu," a rare disease AI model jointly developed by Peking Union Medical College Hospital and the Institute of Automation, Chinese Academy of Sciences. This marks a breakthrough in China's rare disease diagnostic technology and provides a new tool for improving clinical efficiency. The development of this AI model benefits from years of accumulated knowledge on rare diseases in China and the support of genetic testing data from the Chinese population. As the world's first rare disease model tailored to the characteristics of the Chinese population, it...

The Qichacha APP shows that on February 10, Shandong University of Traditional Chinese Medicine released a correction announcement for the smart course construction project (3008), stating that for packages 1, 2, and 3, the project requirements and technical specifications have added "Integration Requirement Importance: General; Technical Specifications: Ability to integrate with DeepSeek model." The budget for package 1 is 2 million yuan, for package 2 is 800,000 yuan, and for package 3 is 1.4 million yuan.

In the healthcare sector, the combination of artificial intelligence (AI) and genomics has reached an exciting new milestone. Recently, Cerebras Corporation partnered with Mayo Clinic to unveil a revolutionary genomic foundation model at the JP Morgan Healthcare Conference in San Francisco. This model aims to leverage advanced AI technology and high-performance computing (HPC) to drive advancements in genomics, particularly in personalized medicine. The new genomic model focuses on improving diagnostic accuracy and personalized treatment options, with preliminary applications in