Researchers at the University of Massachusetts Amherst have pushed forward the development of computer vision with new, silicon-based hardware that can both capture and process visual data in the analog domain. Their work, described in the journal Nature Communications, could ultimately add to large-scale, data-intensive and latency-sensitive computer vision tasks.

Researchers Mostafa Bedewy, at the University of Pittsburgh Swanson School of Engineering, and Ahmed Aziz Ezzat, at Rutgers University, have received a $549,947 collaborative National Science Foundation (NSF) grant to study new ways of controlling the formation of alumina-supported iron nanoparticles by using machine learning (ML) to efficiently model, characterize, simulate, and predict their growth. Their research seeks to advance understanding of these particles to improve nanomanufacturing.

A sweeping new analysis finds that rising global temperatures will dampen the world’s capacity to produce food from most staple crops, even after accounting for economic development and adaptation by farmers.