A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be used to analyze samples returned by current and ...
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Interpretable AI reveals key atomic traits for efficient hydrogen storage in metal hydrides
Hydrogen fuels represent a clean energy option, but a major hurdle in making its use more mainstream is efficient storage.
Hydrogen storage is limited by high pressure or cold tanks. Metal hydrides offer efficiency. A large curated database reveals key atomic traits to guide design.
Curvy Fashionista on MSN
The Struggles Of Plus-Size Women Getting Fashion Endorsements
The Stark Reality of Runway Representation The fashion world's biggest stages tell an uncomfortable truth about size ...
EMR dataset, the Chinese University of Hong Kong's diabetes model is now being expanded to cover other chronic diseases.
FDA fast track designation facilitates expedited development of DPTX3186, recognizing its potential to address serious unmet medical needs in gastric cancer treatment. DPTX3186 gains FDA fast track ...
The Brighterside of News on MSN
New AI model reveals key genetic, social, and lifestyle factors impacting skin cancer risk
Skin cancer impacts millions of Americans annually, but your chances of getting skin cancer and when it is diagnosed depend ...
We spoke with Rupal Deshmukh, partner for supply chain and strategic operations at Kearney, to learn more about the Supply ...
A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.
The study reveals a rapidly evolving field where AI plays a pivotal role in accelerating design, enabling predictive maintenance, optimizing control systems, and powering intelligent digital replicas ...
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