In 2018, a multi-institution research team reported in Nature Communications that their learning algorithm, S#, could sustain cooperation with people and other machines in repeated two-player games, a…
A study from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) found that AI image generators trained on large datasets exhibit 'attribution decay,' where individual training image…
A University of Essex-led study published in Nature Communications in March 2026 reported a method to redesign antibody fragments into intrabodies that function inside human cells, generating more tha…
Researchers at the University of Essex used artificial intelligence to redesign 672 antibodies into intrabodies that can function inside human cells, potentially enabling new treatments for Alzheimer'…
Researchers at MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL) found that diffusion models trained on larger datasets exhibit 'attribution decay,' where individual training inputs …
Researchers at the USC Viterbi School of Engineering have shown that the AI model Allegro-FM independently learned the chemical bond concept without explicit instruction, as published in Nature Commun…
A new MIT CSAIL study published in Nature Communications finds that individual training examples often have no measurable influence on any specific output of large generative image models, a phenomeno…
A peer-reviewed MIT CSAIL study published August 18 in Nature Communications found that diffusion-model outputs become harder to attribute to any single training image, person, or artist as training s…
Researchers at Princeton University and the Indian Institute of Technology have used artificial intelligence to design chip components 500 times smaller than what engineers could create, according to …
MIT computer scientists found that AI models become less attributable to specific training data as they grow, a phenomenon they call 'attribution decay,' which complicates AI regulation and copyright …
Researchers at the University of Southampton have developed CenSegNet, an open-source AI platform that reveals previously invisible centrosome abnormality patterns in breast cancer, analyzing over 330…
Researchers at the University of Southampton developed an AI platform called CenSegNet that analyzes microscopic patterns in breast cancer tumors, uncovering two distinct centrosome abnormalities that…
Neuroscientists at Stanford University and the Massachusetts Institute of Technology have identified the brain's language network, publishing their findings in Nature Communications. The study, led by…
A study published in Nature Communications found that AI-driven productivity gains will boost fossil fuel production more than they will aid renewable energy, increasing net annual carbon pollution by…
Researchers at the Institute of Industrial Science at The University of Tokyo found that the symmetry of a vanadium crystal acts as a switch controlling whether hydrogen moves via quantum tunneling or…
An AI analysis of 1.2 million satellite images by the University of South Florida and the National Oceanic and Atmospheric Administration reveals that floating algae blooms are spreading across the gl…
Researchers at Kyoto University identified two distinct neural circuits that control habit formation and execution in mice, revealing that habits are not exact replications of original behaviors and t…
Researchers introduced AutoSupervision, a framework that evaluates whether scientific manuscript revisions address reviewer feedback using grounded evidence, built from 56,000 Nature Communications ar…
Researchers at Harvard SEAS and the Max Planck Institute for the Science of Light used an inverse-design algorithm to create silicon nitride photonic components that are 500 times smaller than convent…
A developer's two-year pipeline, released under CC0, enabled Anthropic's Claude Code to produce a counterexample to the Jacobian Conjecture, a long-standing mathematical problem. The implementation, d…