As She Rises brings together local poets and activists from throughout North America to depict the effects of climate change on their home and their people. Each episode carries the listener to a new place through a collection of voices, local recordings and soundscapes. Stories span from the Louisiana Bayou, to the tundras of Alaska to the drying bed of the Colorado River. Centering the voices of native women and women of color, As She Rises personalizes the elusive magnitude of climate cha ...
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Innhold levert av Cognitive Engineering and Aleph Insights. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Cognitive Engineering and Aleph Insights eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Hindsight
MP3•Episoder hjem
Manage episode 300187670 series 1244882
Innhold levert av Cognitive Engineering and Aleph Insights. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Cognitive Engineering and Aleph Insights eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Identifying a friend or family member from a baby photo seems like a trivial task. Conversely, showing someone a photo of a child and asking them to determine the corresponding adult can be immensely difficult. Why does matching the faces of friends and family to photos create the illusion that it is a simple and straightforward task? In this episode, we look at hindsight bias. Why do our brains present versions of the past to suit the present and is there a qualitative difference between image recognition and extrapolation? We discuss hypothesis generation, intractable computational problems, and the limits of probability distribution in analysis. Finally, we see what evolutionary insight can be gleaned from matching photos of babies to their adult selves and put our own biases to the test by interpreting family photos. A few things we mentioned in this podcast: - 30 celebrity baby photos https://www.insider.com/27-celebrity-baby-photos-that-show-how-theyve-changed-over-the-years-2017-7#mandy-moore-holds-a-beer-bottle-in-her-baby-photo-2 - Unfamiliar face matching with photographs of infants and children https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001712/ - Unfamiliar faces are not faces: Evidence from a matching task https://core.ac.uk/download/pdf/204312685.pdf - When age-progressed images are unreliable: The roles of external features and age range https://www.sciencedirect.com/science/article/abs/pii/S1355030616301290 - Comparative evaluation of automatic age progression methodologies https://www.researchgate.net/publication/220057621_Comparative_Evaluation_of_Automatic_Age_Progression_Methodologies For more information on Aleph Insights visit our website https://alephinsights.com or to get in touch about our podcast email podcast@alephinsights.com Image: Jabiz Raisdana via Flickr
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370 episoder
MP3•Episoder hjem
Manage episode 300187670 series 1244882
Innhold levert av Cognitive Engineering and Aleph Insights. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Cognitive Engineering and Aleph Insights eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Identifying a friend or family member from a baby photo seems like a trivial task. Conversely, showing someone a photo of a child and asking them to determine the corresponding adult can be immensely difficult. Why does matching the faces of friends and family to photos create the illusion that it is a simple and straightforward task? In this episode, we look at hindsight bias. Why do our brains present versions of the past to suit the present and is there a qualitative difference between image recognition and extrapolation? We discuss hypothesis generation, intractable computational problems, and the limits of probability distribution in analysis. Finally, we see what evolutionary insight can be gleaned from matching photos of babies to their adult selves and put our own biases to the test by interpreting family photos. A few things we mentioned in this podcast: - 30 celebrity baby photos https://www.insider.com/27-celebrity-baby-photos-that-show-how-theyve-changed-over-the-years-2017-7#mandy-moore-holds-a-beer-bottle-in-her-baby-photo-2 - Unfamiliar face matching with photographs of infants and children https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001712/ - Unfamiliar faces are not faces: Evidence from a matching task https://core.ac.uk/download/pdf/204312685.pdf - When age-progressed images are unreliable: The roles of external features and age range https://www.sciencedirect.com/science/article/abs/pii/S1355030616301290 - Comparative evaluation of automatic age progression methodologies https://www.researchgate.net/publication/220057621_Comparative_Evaluation_of_Automatic_Age_Progression_Methodologies For more information on Aleph Insights visit our website https://alephinsights.com or to get in touch about our podcast email podcast@alephinsights.com Image: Jabiz Raisdana via Flickr
…
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370 episoder
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