BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

MIT granted tenure to 11 faculty members across the School of Engineering. This year's tenured engineers hold appointments in ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing ...

In this work, we study the properties of sampling sets on families of large graphs by leveraging the theory of graphons and graph limits. We extend to graphon signals the notion of removable and ...

Accurately modeling chemical reactions in molecular dynamics simulations requires detailed pre- and postreaction templates, often created through labor-intensive manual workflows. This work introduces ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...

Predictive processing is an influential framework in neuroscience that posits the brain as a prediction machine—constantly generating and updating internal ...

Information theory and computation articles from across Nature Portfolio Information theory and computation is the study and development of protocols and algorithms for solving problems and ...

Neuroscientists want to quantify how well neurons, individually and collectively, process information and encode the result in their outputs. We demonstrate that while classic information theory ...