Lmst

Is There Such A Thing As Too Much Resolution On A TV? [monitor? phone?]

https://www.sciencefriday.com/segments/tv-resolution-limit/

AI systems and humans ‘see’ the world differently – and that’s why AI images look so garish
#Tech #AI #ComputerVision #HumanVision #GenerativeAI #ImageProcessing #Technology #DigitalArt #Visual #Images #MachineLearning #The14 #DigitalCreativity #AIImages
https://the-14.com/ai-systems-and-humans-see-the-world-differently-and-thats-why-ai-images-look-so-garish/

👁️ 🤖 A study from our school reveals why humans excel at recognizing objects from fragments while AI struggles, highlighting the critical role of contour integration in human vision.

#HumanVision #ObjectRecognition #ArtificialIntelligence

Read more: https://go.epfl.ch/ZEB-en

tl;dr summary: it's the ipRGCs (intrinsically photosensitive retinal ganglion cells).

"[O]ur results suggest cone photoreceptors do not play a measurable role in the effects of light on #melatonin suppression and subjective alertness at night."

https://www.cell.com/iscience/fulltext/S2589-0042(25)01244-1

#HumanVision #VisionScience #Cones #Eye

An invitation to vertigo. From the darkness rises this spiral toward the light. Yet another architect who mistook himself for a spiritual guide, leading us with each step along the path to the divine.

#architecrure #photography #staircase #spiralstairs #interiorphotography #spirituality #humanvision

#Perception of #material appearance: A comparison between painted and rendered images, 20210517,
by Johanna D, Ana S, Belen M, Diego G,
https://pmc.ncbi.nlm.nih.gov/articles/PMC8131993/
https://doi.org/10.1167/jov.21.5.16

#humanVision #art

Humans better at estimating motion of objects falling versus rising in new study #vision #study #motion #physics #perception #senses #gravity #humanvision

https://fullsteamahead365.com/2024/05/03/humans-better-at-estimating-motion-of-objects-falling-versus-rising-in-new-study/

I was interviewed by The Economist's Babbage podcast on their series, "The science that built AI" last month. My hour long conversation was edited to about six minutes!

I am glad they edited/fit my conversation as taking the perspective that this big data, big compute driven deep-net approach is orthogonal to human/biological vision. And that, without incorporating biological principles (in this case, vision), autonomous visual navigation systems (i.e., self-driving cars) are unlikely and/or limited.

Unfortunately, the podcast requires a subscription to The Economist (I too had to access it from my university account!). But if you do have access, let me know what you think!

https://open.spotify.com/episode/4adN2gVRkQctA55Q0xswiO

#Neuroscience #History #AI #Deepnets #BiologicalIntelligence #BiologicalVision #HumanVision #MachineVision #TheEconomist #Babbage #MachineLearning