Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

The Nobel Prize in Physics was awarded to two scientists for discoveries that laid the groundwork for the artificial intelligence. British-Canadian Geoffrey Hinton, known as a 'godfather of AI', and ...

Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...

An artificial neural network (ANN) is a type of machine learning that identifies patterns from data to make predictions about its features. Scientists like Grace Lindsay, computational neuroscientist ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The first to attempt to calculate the speed of light was made in 1638, albeit unsuccessfully, by the “polymath from Pisa” Galileo Galilei, an Italian physicist, astronomer, natural philosopher, ...