Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...
Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...
The partnership integrates high-resolution multi-omics data generation with predictive multimodal machine learning to support biopharma decision-making in neurology.
Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...
Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
Stina Saunders, PhD, Personalized Medicine Lead at Linus Health, will present new data exploring how culturally responsive, person-specific outcome measures can be scaled across international ...
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