Brain-inspired algorithm could improve word recognition accuracy in noisy situations by up to 40 percentage points, potentially helping with the so-called “cocktail party problem”
A new study from researchers at the School of Public Health, conducted using data from Boston Public School’s extensive network of air quality sensors, showed classroom air quality is often highly variable within school buildings, and even fluctuates greatly within the same classroom over the course of a year.
Boston University researchers and collaborators at Boston Children’s Hospital are launching a new artificial intelligence-powered surveillance platform, the Biothreats Emergence, Analysis, and Communications Network (BEACON), to monitor and analyze infectious diseases threats around the world.
Brain-inspired algorithm could improve word recognition accuracy in noisy situations by up to 40 percentage points, potentially helping with the so-called “cocktail party problem”.