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Kreiman Lab News

What is the difference between human eyes and computer vision?

Story by Ben Dickson

https://thenextweb.com/news/whats-the-difference-between-human-eyes-and-computer-vision

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Kreiman Lab News

Beauty is in the eye of the machine

Edmond de Belamy

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.

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Kreiman Lab News

Understanding the differences between biological and computer vision

Ben Dickson, May 10, 2021

Book review by Ben Dickson. https://bdtechtalks.com/2021/05/10/biological-computer-vision/

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Kreiman Lab News

Brains, Minds and Machines Summer Course 2021

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/

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Kreiman Lab News

New book: Biological and Computer Vision

Biological and Computer Vision
Biological and Computer Vision. Kreiman. Cambridge University Press.

Cambridge University Press. 2021. ISBN 9781108649995

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.