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

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron densities By applying new methods of machine learning in quantum chemistry ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

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 ...

The Italian Ambassador to India, Antonio Bartoli, inaugurated the Indo-Italian Workshop in Physics in Delhi, three days of ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

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 ...

The real answer is less magic and more mindset: a systems principle called Postel’s Law. In plain language: Be strict in what ...

McKinsey research shows that combining AI, machine learning and physics-based modeling can help building owners identify and ...

If algorithms can track, classify, and predict behaviour at scale, can they also narrate a life before it is lived?

Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow ...