My travel schedule has become much busier recently, so I’ve been on a lot of flights. This inspired me to share what I think is a helpful metaphor. Please bear with me. In the late 1600s, Isaac Newton ...

What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy.

Locai Labs and First Light Fusion have agreed to study AI applications in high-energy physics and fusion research.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

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

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...