Story by Ben Dickson
Perspective article by Mengmi Zhang. Nature Human Behavior (2021).
Ansel Adams said, “There are no rules for good photographs, there are only good photographs.” Is it possible to predict our fickle and subjective appraisal of ‘aesthetically pleasing’ visual art? Iigaya et al. used an artificial intelligence approach to show how human aesthetic preference can be partially explained as an integration of hierarchical constituent image features.
Ben Dickson, May 10, 2021
Book review by Ben Dickson. https://bdtechtalks.com/2021/05/10/biological-computer-vision/
Applications are now open for the 2021 edition of the Brain, Minds and Machines Summer Course in Woods Hole MA.
08/05/2021 – 08/26/2021
Link to application: https://www.mbl.edu/education/courses/brains-minds-and-machines/
Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems.