vision – Andrew Fairless, Ph.D.

What I Read: Self-Taught AI, Brain

By Andrew Fairless on October 4, 2022August 22, 2022

https://www.quantamagazine.org/self-taught-ai-shows-similarities-to-how-the-brain-works-20220811/ Self-Taught AI Shows Similarities to How the Brain WorksAnil AnanthaswamyContributing WriterAugust 11, 2022 “Self-supervised learning allows a neural network to figure out for itself what matters. The process mightContinue readingWhat I Read: Self-Taught AI, Brain

What I Read: Transformers in computer vision

By Andrew Fairless on September 6, 2022August 3, 2022

https://theaisummer.com/transformers-computer-vision/ Transformers in computer vision: ViT architectures, tips, tricks and improvementsNikolas Adaloglouon2021-10-21 “You are probably already aware of the Vision Transformer (ViT)…. We will address questions like how can youContinue readingWhat I Read: Transformers in computer vision

What I Read: AI Researchers Fight Noise by Turning to Biology

By Andrew Fairless on February 1, 2022December 12, 2021

https://www.quantamagazine.org/ai-researchers-fight-noise-by-turning-to-biology-20211207/ AI Researchers Fight Noise by Turning to BiologyAllison WhittenContributing WriterDecember 7, 2021 “Tiny amounts of artificial noise can fool neural networks, but not humans. Some researchers are looking toContinue readingWhat I Read: AI Researchers Fight Noise by Turning to Biology

What I Read: Geometric, Deep Learning

By Andrew Fairless on August 16, 2021July 22, 2021

https://towardsdatascience.com/geometric-foundations-of-deep-learning-94cdd45b451d?gi=d7fa7307aa63 Geometric foundations of Deep LearningGeometric Deep Learning is an attempt for geometric unification of a broad class of ML problems from the perspectives of symmetry and invariance. These principlesContinue readingWhat I Read: Geometric, Deep Learning

What I Read: Languages, number of terms for colors

By Andrew Fairless on July 22, 2021July 12, 2021

https://theconversation.com/languages-dont-all-have-the-same-number-of-terms-for-colors-scientists-have-a-new-theory-why-84117 Languages don’t all have the same number of terms for colors – scientists have a new theory whySeptember 18, 2017 “People with standard vision can see millions of distinctContinue readingWhat I Read: Languages, number of terms for colors

What I Read: New Study About Color to Decode ‘The Brain’s Pantone’

By Andrew Fairless on February 8, 2021January 12, 2021

https://www.wired.com/story/a-new-study-about-color-tries-to-decode-the-brains-pantone/ Sara HarrisonScience11.24.2020 07:00 AMA New Study About Color Tries to Decode ‘The Brain’s Pantone’ How do humans perceive color? An NIH experiment finds a way to measure what happensContinue readingWhat I Read: New Study About Color to Decode ‘The Brain’s Pantone’

What I Read: Neural Networks Help Explain Brains

By Andrew Fairless on February 1, 2021January 7, 2021

https://www.quantamagazine.org/deep-neural-networks-help-to-explain-living-brains-20201028/ neuroscienceDeep Neural Networks Help to Explain Living Brains Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains.“If their CNN mimicked aContinue readingWhat I Read: Neural Networks Help Explain Brains

Tag: vision