11.18-11.22
Weekly Highlights

Highlights of the speech by Qi Jin, a researcher in earth science at Zhejiang University, at the COSCon'24 AI for Science forum.

A team from the Institute of Automation, Chinese Academy of Sciences, designed a multimodal integration framework that can solve the problem of visual reconstruction of brain activity.

The fifth episode of the Meet AI4S live series has invited Dr. Wang Zeyuan from Zhejiang University’s Knowledge Engine Laboratory. Come and make an appointment to watch the live broadcast!

Highlights of Professor Xie Weidi's speech at the COSCon'24 AI for Science forum.

Shanghai AI Lab, in collaboration with several scientific research institutions, proposed the GMAI-MMBench benchmark, which includes 284 downstream task datasets.

11.11-11.15
Weekly Highlights

Shanghai Jiao Tong University, in collaboration with Shanghai AI Lab, has successfully developed a pre-trained protein language model ProSST with structure-aware capabilities.

Meta FAIR Laboratory released the material generation model FlowLLM, which improves the efficiency of generating stable materials by more than 300% compared with previous models.

The team from the Future Industries Research Center of Westlake University proposed the UniIF model for the reverse folding of all molecules.

Huang Renxun and Masayoshi Son had an offline conversation in Japan, reviewing the latter's past investment in Nvidia and discussing the development of AI in Japan.

At the COSCon'24 AI4S forum, Ding Jingtao, a postdoctoral researcher at the Center for Urban Science and Computing Research at Tsinghua University, gave an in-depth presentation.

David Baker has open-sourced deep learning tools such as RoseTTAFold to enable the design of new proteins.

Weekly Highlights!

Research teams from four major universities jointly proposed the large language model Y-Mol guided by multi-scale biomedical knowledge, which is a new breakthrough in the field of drug research and development.

The research team of Beijing University of Science and Technology has accelerated the discovery of refractory high-entropy alloys with high-temperature strength and room-temperature ductility by integrating ML, genetic search, and cluster analysis of nuclear test feedback!

With the growing global demand for renewable energy, Meta released the OMat24 large-scale open source dataset and a set of supporting pre-trained models.

The open source AI forum in the direction of AI4S will usher in innovation in the field of basic scientific research. Here is a review of the highlights of the forum!

This round of financing will be used to advance clinical trials of its internal immunology projects and further improve its generative AI platform tNova.

The tutorial section now has "Stable-Diffusion-3.5-Large Image Generation Demo" online, one-click cloning experience!

Meet AI4S invited Dr. Lan Kunyao from Shanghai Giti University to share the topic of "Mental health consultation and consultation platform based on big model agent".

GitHub Models currently supports 35 open source models

Enter the draw for a chance to win free tickets!

Deep Learning Empowers Time Series Forecasting

Covering 2w+ clinical shooting data

10.21-10.25
Weekly Highlights!

Accelerating the development of embodied intelligence

Contains one-click deployment tutorial and computing power benefits

CuspAI predicts carbon capture industry will be worth $4 trillion by 2025

Solving the problem of data scarcity in the medical field