A team from the University of Bern and the National Center of Competence in Research (NCCR) PlanetS has developed a machine-learning model that predicts potential planetary systems with Earth-like planets. The model could ...
A method using free software and a drone with a low-cost camera has made it possible to select drought-tolerant corn plants. The tool contributes to the selection of plants that can better withstand water stress, one of the ...
Researchers from chemistry, biology, and medicine are increasingly turning to AI models to develop new hypotheses. However, it is often unclear on which basis the algorithms come to their conclusions and to what extent they ...
Big data has gotten too big. Now, a research team with statisticians from Cornell has developed a data representation method inspired by quantum mechanics that handles large data sets more efficiently than traditional methods ...
A new artificial intelligence (AI) model developed by Israeli researchers promises to revolutionize wildfire prediction, with a particular focus on lightning-induced blazes that are growing increasingly common due to climate ...
From cell phones to solar panels to quantum computers, thin films are essential to current and emerging technologies. But making functional thin films requires control. During hours-long processes, thin films form atom by ...
Kenneth Merz, Ph.D., of Cleveland Clinic's Center for Computational Life Sciences, and a research team are testing quantum computing's abilities in chemistry through integrating machine learning and quantum circuits.
Landslides pose a significant threat to people and the environment worldwide. Researchers from the Leibniz Center for Agricultural Landscape Research (ZALF), together with international partners, have developed a new framework ...
A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans.
A research team has successfully developed a technology that utilizes Large Language Models (LLMs) to predict the synthesizability of novel materials and interpret the basis for such predictions. The team was led by Seoul ...
