A study published in the International Journal of Mobile Learning and Organisation has mapped the fast-growing field of generative artificial intelligence (GenAI) in education. The research highlights both the technology's ...
Cellarity, a biotechnology company developing cell state-correcting therapies through integrated multi-omics and AI modeling, reports the publication of a manuscript in the journal Science, which articulates a framework for ...
The study published in Remote Sensing Applications: Society and Environment is the first to use AI to combine two types of satellite imagery to detect the location, thickness and type of oil spill in oceans, providing a ground-breaking ...
DeePFAS, a novel deep-learning model, streamlines large-scale non-targeted screening of "forever chemicals" (PFAS) by projecting raw MS2 spectra into a latent space of chemical features, offering a rapid, AI-driven solution ...
Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ecosystem protection. Advances in satellite imaging have improved resolution, but high-resolution land ...
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds—those with high potency, selectivity, and favorable metabolic properties—at the earliest stages is important for reducing ...
Researchers from the Xinjiang Astronomical Observatory of the Chinese Academy of Sciences have developed a hybrid deep learning model that can accurately predict atmospheric delay, a key source of error in astronomical observations ...
Controlling the state of a cell in a desired direction is one of the central challenges in life sciences, including drug development, cancer treatment, and regenerative medicine. However, identifying the right drug or genetic ...
A new method for predicting how rainfall contributes to river flow across the entire US has been developed by an international team of scientists.
Professor Edmund Lam, Dr. Ni Chen and their research team from the Department of Electrical and Electronic Engineering under the Faculty of Engineering at the University of Hong Kong (HKU) have developed a novel uncertainty-aware ...
