Shandong University of Technology, together with Beijing Forestry University and other research institutions, jointly constructed the PlantLncBoost model, providing a systematic solution to the generalization problem of plant lncRNA identification.
A joint research team from Harvard University and Bosch proposed an innovative solution and developed a unified differentiable learning framework for electrical responses.
HyperAI has compiled a series of extremely valuable and widely used data sets and tutorials for everyone from June 9 to June 13, covering speech generation, visual models, medical imaging, AI for Science and many other fields~
The team at Georg-August University developed an innovative computational biology algorithm, SimplifiedBondfinder, to systematically analyze more than 86,000 high-resolution X-ray protein structures.
Professor Liu Yang’s group at Tsinghua University and Professor Huang Wenbing’s group at Renmin University’s Gaoling School of Artificial Intelligence jointly proposed a unified biomolecular time-coarsened dynamics simulator UniSim. This method obtains a large amount of 3D molecular structure data through denoising + force field hybrid pre-training […]
A joint research team from Abu Dhabi's Inception AI Institute and Silicon Valley's Cerebras Systems has developed Prot42, the first family of protein language models (PLMs) that rely solely on protein sequence information and does not require 3D structure input.
HyperAI has compiled a series of extremely valuable and widely used data sets and tutorials for everyone from 6.3 to 6.6, covering artificial intelligence, efficient programming, music, medical care and other fields~
「OmniConsistency: GPT-4o-level character style transfer model」 Only need to upload pictures to achieve high-quality style image generation, come and experience it!
The research team of the Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences drew on the breakthroughs made by the GPT series in the field of language.
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".
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!
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.
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.
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
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.