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Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...
2UrbanGirls on MSNOpinion
Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
As humans age beyond early adulthood, their physical and mental functions tend to slowly worsen over time. One of the most ...
Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...
Key market opportunities include the adoption of automated sample preparation systems driven by the need for reproducibility and error reduction. High R&D investments by pharma companies for faster ...
The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...
Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...
A team of astronomers based at the European Space Agency demonstrated how artificial intelligence technology will alter ...
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