Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally expensive and complex. Researchers at University of Tsukuba have introduced a new method called the multiparameter eigenvalue-problem emulator, enabling reliable predictions based directly on relationships among known data by eliminating the need for parameter estimation. This innovation considerably reduces computational costs and enables systematic quantification of predictive uncertainty.

A new Dartmouth study maps the interplay of personal choice and social networks that can lead to a phenomenon they call "overarming," where the collective cost of firearm ownership outweighs the individual benefits of possessing a gun. The team developed a model based in evolutionary game theory to characterize how social factors drive individuals' choices to buy a firearm, how these choices influence others' choices, and whether the choices made by all members of society leads to overarming. 

Ahead of the World Environment Day, a new study by the United Nations scientists warns about the rising environmental footprints of AI and its lasting impacts on climate, water, and ecosystems

The research, led by engineering professor Jayasimha Atulasimha, could speed up problem-solving in some industries and cut energy use.

A new collaboration, publication, and conversation illuminate how a new theory of reality based on consciousness will enable scientific study of the human psychedelic experience.