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An article summarizing the legendary life of AI godfather Hinton
The tutorial "Evo: Prediction and Generation from Molecular to Genome Scale" is now online. You can quickly experience it with one-click cloning!
The fifth episode of the Meet AI4S live series will be launched on time at 19:00 on December 10, come and make an appointment!
Professor Hong Liang from Shanghai Jiao Tong University comprehensively sorted out the challenges and approaches for implementing AI4S, as well as how to organically combine AI and Science.
The tutorial section of HyperAI's official website has launched the "InkSight Demo to Digitize Handwritten Text", which can be cloned with one click to experience.
Lu Feng's team from Huazhong University of Science and Technology proposed CGS-Mask, which can not only improve the prediction accuracy of the model, but also increase the interpretability of the results.
With AI godfather Hinton in charge, startup CuspAI is committed to using AI to explore carbon capture materials to combat global warming.
HyperAI has compiled 9 high-quality open source datasets for you. Click to download!
David Baker's team developed a diffusion model-based technology, RFpeptides, to design macrocyclic binders for a variety of protein targets.
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.
