Li Mingchen, a postdoctoral fellow in Hong Liang's research group at the Institute of Natural Sciences, Shanghai Jiao Tong University, shared the latest research progress and technological breakthroughs in the basic model of proteins and genomes with everyone under the theme of "Proteins and Genome Basic Models".
The "VenusFactory Protein Engineering Design Platform" has been launched on the tutorial section of HyperAI's official website (hyper.ai), covering 7 functional modules and can be experienced online with one-click deployment.
Professor Zhuang Yingping from East China University of Science and Technology shared her views on "AI Assisting Efficient Biomanufacturing Processes" and introduced the technical system and team achievements from three aspects, including the relationship between biomanufacturing and synthetic biology.
A team from Cornell University has proposed an integrated circuit called a microwave neural network (MNN) that can simultaneously process ultra-high-speed data and wireless communication signals, providing a new solution for high-bandwidth applications.
Medical GraphRAG effectively improves the credibility and overall quality of answers by generating evidence-based answers and official medical terminology explanations.
Ainnova Tech, a health technology company, has created the Vision AI platform, which can detect diabetic retinopathy (with an accuracy rate exceeding 90%), cardiovascular risk, and other multi-system diseases in seconds.
The UCLA research team proposed a virtual histological staining method based on a diffusion model, which enables the prediction of high-resolution cell tissue pathological structure based on low-resolution IMS data.
The Alibaba Tongyi Qianwen team has once again open-sourced its first basic image generation model, Qwen-Image, with a parameter count of up to 20B, refreshing the SOTA state-of-the-art image generation model.
"MediCLIP: Anomaly Detection in Small Sample Medical Images Using CLIP" is now available in the "Tutorials" section of the HyperAI website. Come and experience this efficient method for intelligent medical imaging diagnosis!
HyperAI has compiled a series of valuable and widely used tutorials and datasets from August 4th to August 8th, covering a variety of fields such as autonomous driving and speech models.
OpenAI has officially open-sourced gpt-oss-120b and gpt-oss-20b. The former is designed for complex reasoning and knowledge-intensive scenarios, while the latter is more suitable for low-latency, local or professional vertical fields.
Zhou Hao's research group at Tsinghua University's Institute of Intelligent Industries (AIR), in collaboration with the Shanghai Artificial Intelligence Laboratory, proposed the protein base model AMix-1 based on a Bayesian flow network.
To address the problem of targeting naturally disordered proteins, David Baker and his team proposed Logos, which enables proteins to bind to naturally disordered protein regions with multiple extended conformations.
Alibaba's Tongyi Wanxiang Laboratory has open-sourced its advanced AI video generation model Wan2.2, introducing a hybrid expert architecture for the first time to effectively improve generation quality and computational efficiency.
"One-click deployment of Qwen3-30B-A3B-Instruct-2507" has been released to the OpenBayes public tutorial. You can quickly experience the demo with one-click cloning.
NVIDIA, in collaboration with research teams including the Lawrence Berkeley National Laboratory in the United States, launched FourCastNet 3, which combines spherical signal processing with the hidden Markov set framework.
Google DeepMind released AlphaEarth Foundations to help scientists analyze Earth's dynamics more quickly and efficiently and monitor global issues such as crop health.
A research team from the University of Pennsylvania in the United States integrated four major venom databases to build a global venom database and applied a sequence-to-function deep learning model called APEX.
"OCRFlux-3B: Intelligent Text Recognition Toolkit" has been launched on the tutorial section of HyperAI's official website. You can experience it online with one-click deployment~