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#humanvision — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #humanvision, aggregated by home.social.

  1. 👁️ 🤖 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: go.epfl.ch/ZEB-en

  2. 👁️ 🤖 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: go.epfl.ch/ZEB-en

  3. 👁️ 🤖 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: go.epfl.ch/ZEB-en

  4. 👁️ 🤖 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: go.epfl.ch/ZEB-en

  5. 👁️ 🤖 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: go.epfl.ch/ZEB-en

  6. 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."

    cell.com/iscience/fulltext/S25

    #HumanVision #VisionScience #Cones #Eye

  7. 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."

    cell.com/iscience/fulltext/S25

    #HumanVision #VisionScience #Cones #Eye

  8. 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."

    cell.com/iscience/fulltext/S25

    #HumanVision #VisionScience #Cones #Eye

  9. 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."

    cell.com/iscience/fulltext/S25

    #HumanVision #VisionScience #Cones #Eye

  10. 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."

    cell.com/iscience/fulltext/S25

    #HumanVision #VisionScience #Cones #Eye

  11. 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!

    open.spotify.com/episode/4adN2

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

  12. 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!

    open.spotify.com/episode/4adN2

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

  13. 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!

    open.spotify.com/episode/4adN2

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

  14. 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!

    open.spotify.com/episode/4adN2

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

  15. 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!

    open.spotify.com/episode/4adN2

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