Mastodawn

Richard Penner Mar 10

🎶 "When the dark grey of night becomes a sparkling blue, it is time to take another sip of RadAway." 🎵

Sung in the style of a cheerful 1950s radio jingle between Sparkle-Cola ads, obviously.

https://fallout.fandom.com/wiki/RadAway (Fictional medicine delivered intravenously) #Fallout #DarkHumor

https://falloutequestria.fandom.com/wiki/Medicines#Rad-away (Fictional medicine one drinks) #FalloutEquestria

https://en.wikipedia.org/wiki/Eigengrau #Physiology #HumanVision #Vision

https://www.science.org/doi/10.1126/science.1154020 #VeryBad #VitreousHumor

https://en.wikipedia.org/wiki/Cherenkov_radiation #CherenkovRadiation

cs Nov 7

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

#vision #resolution #HumanVision

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

Is There Such A Thing As Too Much Resolution On A TV?

At what point does the resolution on a TV display outpace what human eyes can actually see? Researchers investigated.

Science Friday

The-14 Oct 20

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/

AI systems and humans ‘see’ the world differently – and that’s why AI images look so garish | The-14

AI and humans see the world differently. New research shows AI images appear vivid, generic & exaggerated because computer vision lacks human depth and context.

The-14 Pictures

EPFL Jul 24, 2025

👁️ 🤖 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

AI can't see as well as humans, and how to fix it

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

Dr. John Barentine FRAS Jul 23, 2025

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

Batouciermer Jun 13, 2025

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

ax6761 May 11, 2025

#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

Perception of material appearance: A comparison between painted and rendered images

Painters are masters in replicating the visual appearance of materials. While the perception of material appearance is not yet fully understood, painters seem to have acquired an implicit understanding of the key visual cues that we need to ...

PubMed Central (PMC)

Bill Loguidice May 3, 2024

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/

Humans better at estimating motion of objects falling versus rising in new study - fullSTEAMahead365

In the Open Access Journal of Vision, a study concludes that humans are better at estimating the descent of objects versus their ascent.

fullSTEAMahead365

Karthik Srinivasan Mar 26, 2024

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

Babbage: The science that built the AI revolution—part three

Listen to this episode from Babbage from The Economist on Spotify. What made AI take off? A decade ago many computer scientists were focused on building algorithms that would allow machines to see and recognise objects. In doing so they hit upon two innovations—big datasets and specialised computer chips—that quickly transformed the potential of artificial intelligence. How did the growth of the world wide web and the design of 3D arcade games create a turning point for AI?This is the third episode in a four-part series on the evolution of modern generative AI. What were the scientific and technological developments that took the very first, clunky artificial neurons and ended up with the astonishingly powerful large language models that power apps such as ChatGPT?Host: Alok Jha, The Economist’s science and technology editor. Contributors: Fei-Fei Li of Stanford University; Robert Ajemian and Karthik Srinivasan of MIT; Kelly Clancy, author of “Playing with Reality”; Pietro Perona of the California Institute of Technology; Tom Standage, The Economist’s deputy editor.On Thursday April 4th, we’re hosting a live event where we’ll answer as many of your questions on AI as possible, following this Babbage series. If you’re a subscriber, you can submit your question and find out more at economist.com/aievent. Listen to what matters most, from global politics and business to science and technology—subscribe to Economist Podcasts+For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account. Hosted on Acast. See acast.com/privacy for more information.

Spotify

Phys.org May 9, 2023

Referenced link: https://medicalxpress.com/news/2023-05-human-vision-scale.html
Discuss on https://discu.eu/q/https://medicalxpress.com/news/2023-05-human-vision-scale.html

Originally posted by Phys.org / @physorg_com: http://nitter.platypush.tech/medical_xpress/status/1655938161951006721#m

RT by @physorg_com: New research sheds light on how #humanvision perceives scale @astonuniversity @PLOSONE https://journals.plos.org/plosone/article https://medicalxpress.com/news/2023-05-human-vision-scale.html

New research sheds light on how human vision perceives scale

Researchers from Aston University and the University of York have discovered new insights into how the human brain makes perceptual judgements of the external world.

Medical Xpress