AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...
LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The Bennu findings remind us that life-friendly chemistry may be widespread ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...
Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.
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