Contains DeepCoder-14B-Preview one-click deployment tutorial

Professor Luo Xiaozhou from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences shared the innovative application and practice of AI in the field of enzyme engineering

Phaseshift Technologies builds next-generation alloys and composites, with AI at the heart of the effort

The Shanghai Artificial Intelligence Laboratory and several well-known universities jointly proposed the MaMI (Modality-adaptive Medical Identifier) model with excellent performance

The University of Cambridge, together with other universities and research centers, launched the Aardvark Weather forecasting system, providing a new path for the development of future weather forecasting technology

The US NIH issued a document prohibiting Chinese users from accessing the SEER database, and the construction of domestic databases was accelerated

Dr. Yuan Fajie from Westlake University shared the latest research progress and team research results of protein language model at the "AI Protein Design Summit"

A team from the University of Tokyo in Japan developed the STAIG deep learning framework, which can integrate gene expression, spatial data, and histological images without alignment.

The Multi-Agent Dialogue (MAC) framework based on GPT-3.5 and GPT-4 significantly improves the diagnostic capabilities of LLMs and is expected to become an important auxiliary tool for doctors

EchoONE, a unified segmentation model for multi-section echocardiography, can accurately segment the cardiac structure of multi-section echocardiography, effectively reducing the complexity of the design model

Aerial photography dataset summary

Professor Zhang Yang's team from the National University of Singapore proposed a high-precision RNA structure prediction framework DRfold2 based on deep learning, and the unsupervised contact prediction accuracy is higher than the existing methods

VISTA3D multimodal medical image segmentation model pioneered a 3D supervoxel feature extraction method, improving zero-sample performance by 50%

A new protein structure prediction method based on AlphaFold effectively solves the problem of disordered protein structure prediction

AcneDGNet’s deep learning algorithm is not only more accurate than junior dermatologists, but is also comparable to senior dermatologists in accuracy.

HyperAI invited Associate Professor Huang Hong, Dr. Zhou Dongzhan, Dr. Zhou Bingxin and other teachers to discuss the cutting-edge development of AI

Professor Sheng Bin's team from Shanghai Jiao Tong University, in collaboration with several universities, has evaluated several mainstream large language models, opening up new research directions for the application of large models in the medical field.

Huang Renxun open-sourced a series of new achievements at the GTC 2025 conference, including the Physical AI dataset and the GR00T N1 basic model.

A research team from the University of Cambridge proposed the Celcomen virtual tissue model to unlock the secrets of intracellular and intercellular gene regulation in spatial transcriptomics and single-cell data.

Laoshan Laboratory and others have developed a large-scale intelligent forecasting model for the ocean environment called "Wenhai" through the deep integration of physical oceanography and artificial intelligence, with better performance.

A joint team from Tsinghua University and other universities proposed the CoPRA model, which set a new record in protein-RNA binding affinity prediction capabilities.
