Dr. Liang Haojian from the Institute of Space Information Innovation of the Chinese Academy of Sciences gave a speech titled "Research on Optimization Methods for Urban Emergency Fire Facility Configuration Based on Hierarchical Deep Reinforcement Learning".

"One-click deployment of DeepSeek-R1-0528-Qwen3-8B" has been launched in the "Tutorial" section of HyperAI's official website. Come and experience it!

HyperAI has compiled a series of extremely valuable and widely used data sets and tutorials for everyone from May 26 to May 29, covering image synthesis, speech recognition, programming reasoning, music and other fields~

The "Aurora Large-Scale Atmospheric Basic Model Demo" is now available in the "Tutorials" section of HyperAI's official website. Come and experience it!

UniMoMo, a cross-class unified generation framework, effectively balances structural hierarchy and atomic-level precision

The "ParaKeet-tdt-0.6b-v2 Speech Recognition" demo has been uploaded to the "Tutorial" section of the HyperAI official website.

Queen Mary University of London and Oxford University research teams collaborated to develop two new cancer prediction algorithms based on anonymous electronic health records of 7.46 million adults in England.

The TOPSIS classification fusion (TCF) model can be used to predict the risk of death within 28 days in patients with septic shock in the ICU.

HyperAI has compiled a series of extremely valuable and widely used data sets and tutorials for everyone from May 19th to May 23rd, covering multiple fields such as artificial intelligence, image and text generation, mathematics, materials, etc.

Google released MedGemma, built on Gemma 3 and specializing in medical text and image understanding.

Google launched its smartest model yet, the Gemini 2.5 Pro, in March

A team from MIT and Harvard University proposed a framework called PUPS that combines protein sequences and cell images to predict the subcellular localization of unknown proteins.

Qi Jin, a full-time researcher at the School of Earth Sciences of Zhejiang University, gave a special presentation on the "Deep Time Earth Crowd Intelligence Collaborative Innovation Platform".

"ACE-Step: Basic Model for Music Generation" can synthesize up to 4 minutes of music in just 20 seconds, which is 15 times faster than the baseline method based on LLM

Huang Renxun shared several updates about Nvidia in the fields of data center, enterprise AI and robotics at Computex 2025.

Cornell University and Regeneron Pharmaceuticals in the United States proposed a graph-encoded mixed survival model (GEMS) to identify sub-phenotypes with consistent characteristics and survival outcomes.

HyperAI has compiled some of the most popular medical data sets for you, covering medical question-and-answer, medical reasoning, medical imaging and other data.

Google DeepMind announced the programming AI Agent AlphaEvolve, which can be used for general algorithm discovery and optimization.

Researchers from Columbia University and Stanford University proposed a generative artificial intelligence structure analysis method PXRDnet based on a diffusion model.

"In-Context Edit: Command-driven Image Generation and Editing" has been launched in the "Tutorial" section of HyperAI's official website. Only very few text commands are needed to achieve accurate image modification. Come and experience it!

David Baker's team at the University of Washington recently used advanced generative models to conduct synthetic OLG design research and verify its feasibility from an engineering perspective.

Researchers from the Russian Academy of Sciences have developed a machine learning-based search engine, MEDUSA Search, that can analyze terabyte-scale high-resolution mass spectrometry data to help discover unknown chemical reactions!

10 practical tutorials and model examples to quickly master vLLM

Achieve segmentation and generalization capabilities that are superior to existing advanced models in zero-shot, one-shot, and few-shot scenarios.

The team proposed an innovative framework to reveal the unique "two-step" ion migration mechanism in hydride SSEs

The HIT team proposed a hierarchical distillation multi-instance learning framework HDMIL, which can significantly reduce the inference time

Contains Qwen3 one-click deployment tutorial

The team led by Zhou Hao from Tsinghua University AIR proposed ProfileBFN (Profile Bayesian Flow Network), which achieves efficient protein family design

IBM Research and others jointly launch EarthDial to provide strong support for earth observation data

A team from Waseda University in Japan used machine learning technology to perform molecular design and experimental optimization of light-driven crystals to successfully maximize the blocking force

Dr. Liang Haojian from the Institute of Space Information Innovation of the Chinese Academy of Sciences gave a speech titled "Research on Optimization Methods for Urban Emergency Fire Facility Configuration Based on Hierarchical Deep Reinforcement Learning".

"One-click deployment of DeepSeek-R1-0528-Qwen3-8B" has been launched in the "Tutorial" section of HyperAI's official website. Come and experience it!

HyperAI has compiled a series of extremely valuable and widely used data sets and tutorials for everyone from May 26 to May 29, covering image synthesis, speech recognition, programming reasoning, music and other fields~

The "Aurora Large-Scale Atmospheric Basic Model Demo" is now available in the "Tutorials" section of HyperAI's official website. Come and experience it!

UniMoMo, a cross-class unified generation framework, effectively balances structural hierarchy and atomic-level precision

The "ParaKeet-tdt-0.6b-v2 Speech Recognition" demo has been uploaded to the "Tutorial" section of the HyperAI official website.

Queen Mary University of London and Oxford University research teams collaborated to develop two new cancer prediction algorithms based on anonymous electronic health records of 7.46 million adults in England.

The TOPSIS classification fusion (TCF) model can be used to predict the risk of death within 28 days in patients with septic shock in the ICU.

HyperAI has compiled a series of extremely valuable and widely used data sets and tutorials for everyone from May 19th to May 23rd, covering multiple fields such as artificial intelligence, image and text generation, mathematics, materials, etc.

Google released MedGemma, built on Gemma 3 and specializing in medical text and image understanding.

Google launched its smartest model yet, the Gemini 2.5 Pro, in March

A team from MIT and Harvard University proposed a framework called PUPS that combines protein sequences and cell images to predict the subcellular localization of unknown proteins.

Qi Jin, a full-time researcher at the School of Earth Sciences of Zhejiang University, gave a special presentation on the "Deep Time Earth Crowd Intelligence Collaborative Innovation Platform".

"ACE-Step: Basic Model for Music Generation" can synthesize up to 4 minutes of music in just 20 seconds, which is 15 times faster than the baseline method based on LLM

Huang Renxun shared several updates about Nvidia in the fields of data center, enterprise AI and robotics at Computex 2025.

Cornell University and Regeneron Pharmaceuticals in the United States proposed a graph-encoded mixed survival model (GEMS) to identify sub-phenotypes with consistent characteristics and survival outcomes.

HyperAI has compiled some of the most popular medical data sets for you, covering medical question-and-answer, medical reasoning, medical imaging and other data.

Google DeepMind announced the programming AI Agent AlphaEvolve, which can be used for general algorithm discovery and optimization.

Researchers from Columbia University and Stanford University proposed a generative artificial intelligence structure analysis method PXRDnet based on a diffusion model.

"In-Context Edit: Command-driven Image Generation and Editing" has been launched in the "Tutorial" section of HyperAI's official website. Only very few text commands are needed to achieve accurate image modification. Come and experience it!

David Baker's team at the University of Washington recently used advanced generative models to conduct synthetic OLG design research and verify its feasibility from an engineering perspective.

Researchers from the Russian Academy of Sciences have developed a machine learning-based search engine, MEDUSA Search, that can analyze terabyte-scale high-resolution mass spectrometry data to help discover unknown chemical reactions!

10 practical tutorials and model examples to quickly master vLLM

Achieve segmentation and generalization capabilities that are superior to existing advanced models in zero-shot, one-shot, and few-shot scenarios.

The team proposed an innovative framework to reveal the unique "two-step" ion migration mechanism in hydride SSEs

The HIT team proposed a hierarchical distillation multi-instance learning framework HDMIL, which can significantly reduce the inference time

Contains Qwen3 one-click deployment tutorial

The team led by Zhou Hao from Tsinghua University AIR proposed ProfileBFN (Profile Bayesian Flow Network), which achieves efficient protein family design

IBM Research and others jointly launch EarthDial to provide strong support for earth observation data

A team from Waseda University in Japan used machine learning technology to perform molecular design and experimental optimization of light-driven crystals to successfully maximize the blocking force