A study based on mathematical models shows that, when competing populations colonize new territory, greater fitness is not enough: position and expansion speed also matter.
Press releases
A new version of the Daydreaming algorithm allows artificial memory systems to work reliably even with biased and imperfect data, like those found in the real world.
Nobel laureate Giorgio Parisi and physicist Francesco Zamponi, with the help of artificial intelligence, solve a mathematical problem that had remained open for more than a decade and document the entire process.
A new study explores how transfer learning reduces the cost of cosmological simulations while revealing the risks of “negative transfer” in the search for physics beyond the standard model
A simple physics-inspired model sheds light on how neural networks learn, offering new clues to the surprising efficiency and stability of modern AI systems
A study published in JCAP shows how a team of undergraduate students built a small-scale detector to search for axions, setting new limits on their properties with a low-cost experimental setup
A study published in JSTAT reveals that inconsistent data measurement in crowd models may compromise safety predictions, proposing new methods to better capture the complex dynamics of human movement in public spaces.