Researchers are using various machine-learning strategies to speed up climate modelling, reduce its energy costs and hopefully improve accuracy.
Stanford and McMaster University researchers created an artificial intelligence (AI) model to design molecules that inhibit the growth of Acinetobacter baumannii, a common drug-resistant bacteria.
approach is able to automatically discover novel ways to merge different models from vastly different domains (like non-English language and Math, or non-English language and Vision)...tested our method to automatically evolve for us a Japanese Large Language Model (LLM) capable of Math reasoning, and a Japanese Vision-Language Model (VLM).
A new artificial intelligence (AI) model…can identify patterns in electron microscope images of materials without requiring human intervention, allowing for more accurate and consistent materials science.
Machine-learning system trained on millions of human audio clips shows promise for detecting COVID-19 and tuberculosis.
Hippocratic's agents have already been tested by more than 1,000 registered nurses and 100 licensed physicians in the U.S., and dozens of health care providers are trying out the bots internally for non-diagnostic tasks. The company's data shows its bots outperform not only rivals ...but beat human nurses in every category tested.
Novel method makes tools like Stable Diffusion and DALL-E-3 faster by simplifying the image-generating process to a single step while maintaining or enhancing image quality.
The treatment, called NexCAR19, raises hopes that this transformative class of medicine will become more readily available in low- and middle-income countries.
The proof-of-principle work, reported this week in a preprint on bioRxiv, raises the possibility of bringing AI-guided protein design to the therapeutic antibody market, which is worth hundreds of billions of dollars. The work has not yet been peer reviewed.
19 March 2024 - Human experts prefer TacticAI’s suggested positional improvements at corner kicks
