How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational chemistry, is not unlike using the Rosetta Stone to unlock the secrets of ancient ...

In what ways does chromatographic co-elution affect MS2 spectral quality, molecular networking, and the accuracy of ML models trained on MS2 data?

Artificial intelligence is rapidly inventing new drugs for diseases from Parkinson's disease and antibiotic-resistant superbugs to rare lung conditions.

Researchers developed a machine-learning workflow that predicts how chemical reactions will form specific “handed” versions of molecules—critical for safe and effective drugs. Trained on small ...

With infrastructure partnerships spanning AWS, Microsoft, Nvidia, SoftBank, and specialized GPU cloud providers, OpenAI is helping drive the emergence of a multi-cloud AI ...

In the past few years, edge artificial intelligence (AI) has moved beyond experimental pilots and into real deployments ...

Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials, and ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...

Find out how self-driving labs utilise data-driven approaches to enhance drug discovery efficiency and innovation.

Researchers have built a small-scale computer that runs on thermal noise, the random electrical fluctuations that conventional chip designers spend billions trying to suppress. The device, called a ...