Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational ...
Matlantis CSP has already produced early results across multiple systems—oxides, alloys, and phosphides—discovering more than 10 previously unknown stable crystals. In the Ga–Au–Ca system, it ...
Beauty R&D is shifting toward “materials intelligence,” using AI and atom-level simulation to model ingredient interactions, cut trial-and-error, reduce waste, and speed the development of safer, ...
AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
How inconvenient would it be if you had to manually transfer every contact and photo from scratch every time you switched to ...
The closer organizations come to harmonizing accuracy, accessibility and AI, the more effectively they can unlock value that ...
Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases
Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
Field notes from our human-AI collaboration summit: the 70/30 problem, why agents don't push back, and AI's role as catalyst ...
Antimicrobial resistance (AMR) remains one of the most serious and urgent global health challenges, which significantly limits the effectiveness of ...
The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...
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