The Korean team introduced the Retrieval-Retro inorganic retrosynthesis planning method, which greatly improved the efficiency and accuracy of inorganic material synthesis.

The 7th episode of the Meet AI4S live series has invited three lecturers in the field of artificial intelligence, including Professor Huang Hong from Huazhong University of Science and Technology. Come and make an appointment for the live broadcast!

Oxford/Amazon/Westlake University/Tencent and others proposed the multimodal, multi-domain, and multi-language medical model M³FM, which supports disease reporting and disease classification, and performs better than previous methods.

The Duke University research team constructed the PepPrCLIP pipeline, which can design short proteins (peptides) that can bind to and destroy previously undruggable disease-causing proteins.

The "Tutorial" section of SuperNeural's official website has launched 3 sound cloning models, which can be deployed and experienced with one click.

A team from the Hong Kong Polytechnic University published the RingFormer framework, which greatly shortened the research and development cycle of new materials and pushed organic solar cell research into a new era.

Owkin has built the world's largest cancer spatial omics dataset, solving the patient data privacy issue that the public is most concerned about, and facilitating cancer diagnosis and drug development.

The China University of Geosciences team and Baidu jointly proposed the image segmentation model ConDSeg, which solved the two major problems of "soft boundaries" and co-occurrence in the field of medical image segmentation.

Many universities and research teams at home and abroad have achieved high-precision prediction of the antioxidant properties of new high-temperature materials through gradient boosting decision tree technology

Fudan University and others proposed an innovative 4D diffusion model that can simultaneously predict protein motion trajectories in multiple time steps.

HyperAI focuses on the research of AI in the field of earth sciences and has selected 15 cutting-edge papers for interpretation.

The University of Florida and others have increased the efficiency of searching for high-Tc superconductors by 5 times through the deep learning model BETE-NET.

Beihang University/Peking University/Three Gorges University proposed and verified MedFound, a biomedical language model with the largest number of parameters.

The "Tutorial" section of HyperAI's official website has launched multiple versions of the YOLO series, which can be experienced with one-click deployment.

Market research firm IoT Analytics has selected the top ten most noteworthy events in the AI field in 2024.

HyperAI has carefully selected 10 outstanding books in the field of AI to reveal to you the key ideas for coping with the AI wave.

HyperAI has compiled 8 high-quality data sets for you, covering many aspects such as Chinese traditional culture, urban transportation, and scenic spots.

HyperAI helped everyone evaluate the ability of Kimi, Doubao, Wenxinyiyan, ChatGPT and other large models to "match Spring Festival couplets".

HyperAI focuses on the latest research on AI in the field of biomedicine and has selected 46 cutting-edge papers for interpretation.

HyperAI focuses on the research of AI in the field of medical health, and has selected 35 cutting-edge papers for interpretation.

This issue of articles focuses on AI research in the field of materials chemistry.

HyperAI released the open source project awesome-ai4s on GitHub, which brings together more than 200 AI4S academic papers.

The tutorial section of HyperAI's official website has launched "One-click deployment of the Cosmos world basic model". Come and try it yourself~

Microsoft's MatterGen model was officially published in Nature, confirming the huge potential of generative AI in the development of new materials.

At a White House press conference, Trump and several industry leaders jointly announced an artificial intelligence project called "Stargate".

The Peking University team proposed an evolution-driven virus mutation driving force prediction framework E2VD, which can be used to predict the new coronavirus, HIV, etc.

The Korean team introduced the Retrieval-Retro inorganic retrosynthesis planning method, which greatly improved the efficiency and accuracy of inorganic material synthesis.

The 7th episode of the Meet AI4S live series has invited three lecturers in the field of artificial intelligence, including Professor Huang Hong from Huazhong University of Science and Technology. Come and make an appointment for the live broadcast!

Oxford/Amazon/Westlake University/Tencent and others proposed the multimodal, multi-domain, and multi-language medical model M³FM, which supports disease reporting and disease classification, and performs better than previous methods.

The Duke University research team constructed the PepPrCLIP pipeline, which can design short proteins (peptides) that can bind to and destroy previously undruggable disease-causing proteins.

The "Tutorial" section of SuperNeural's official website has launched 3 sound cloning models, which can be deployed and experienced with one click.

A team from the Hong Kong Polytechnic University published the RingFormer framework, which greatly shortened the research and development cycle of new materials and pushed organic solar cell research into a new era.

Owkin has built the world's largest cancer spatial omics dataset, solving the patient data privacy issue that the public is most concerned about, and facilitating cancer diagnosis and drug development.

The China University of Geosciences team and Baidu jointly proposed the image segmentation model ConDSeg, which solved the two major problems of "soft boundaries" and co-occurrence in the field of medical image segmentation.

Many universities and research teams at home and abroad have achieved high-precision prediction of the antioxidant properties of new high-temperature materials through gradient boosting decision tree technology

Fudan University and others proposed an innovative 4D diffusion model that can simultaneously predict protein motion trajectories in multiple time steps.

HyperAI focuses on the research of AI in the field of earth sciences and has selected 15 cutting-edge papers for interpretation.

The University of Florida and others have increased the efficiency of searching for high-Tc superconductors by 5 times through the deep learning model BETE-NET.

Beihang University/Peking University/Three Gorges University proposed and verified MedFound, a biomedical language model with the largest number of parameters.

The "Tutorial" section of HyperAI's official website has launched multiple versions of the YOLO series, which can be experienced with one-click deployment.

Market research firm IoT Analytics has selected the top ten most noteworthy events in the AI field in 2024.

HyperAI has carefully selected 10 outstanding books in the field of AI to reveal to you the key ideas for coping with the AI wave.

HyperAI has compiled 8 high-quality data sets for you, covering many aspects such as Chinese traditional culture, urban transportation, and scenic spots.

HyperAI helped everyone evaluate the ability of Kimi, Doubao, Wenxinyiyan, ChatGPT and other large models to "match Spring Festival couplets".

HyperAI focuses on the latest research on AI in the field of biomedicine and has selected 46 cutting-edge papers for interpretation.

HyperAI focuses on the research of AI in the field of medical health, and has selected 35 cutting-edge papers for interpretation.

This issue of articles focuses on AI research in the field of materials chemistry.

HyperAI released the open source project awesome-ai4s on GitHub, which brings together more than 200 AI4S academic papers.

The tutorial section of HyperAI's official website has launched "One-click deployment of the Cosmos world basic model". Come and try it yourself~

Microsoft's MatterGen model was officially published in Nature, confirming the huge potential of generative AI in the development of new materials.

At a White House press conference, Trump and several industry leaders jointly announced an artificial intelligence project called "Stargate".

The Peking University team proposed an evolution-driven virus mutation driving force prediction framework E2VD, which can be used to predict the new coronavirus, HIV, etc.
