Spy satellite technology originally commercialized by the mining industry is being used by archeologists to find and inventory 10,000 year old underwater mines in central America.
We’re going to take a look at those tools and discuss the algorithms which run them.
Sources cited during this episode include the following:
We’re going to take a look at those tools and discuss the algorithms which run them.
Sources cited during this episode include the following:
- The July 3rd, 2020 National Post article, “Canadian scuba diver in Mexico accidentally discovers vast, prehistoric industrial complex.”
- The July 3rd, 2020 American Association for the advancement of Science (AAAS) Scientific Advances paper on "Paleoindian ochre mines in the submerged caves of the Yucatán Peninsula, Quintana Roo, Mexico."
- The July 12th, 2019 Science Live post, "Space Archaeology Is a Thing. And It Involves Lasers and Spy Satellites."
- The 1998 National Academy of Sciences, Engineering and Medicine publication titled "People and Pixels; Linking Remote Sensing and Social Science."
- The undated National Oceanic and Atmospheric Administration (NOAA) National Ocean Service page titled "What is lidar?" Retrieved July 5th, 2020.
- The April 22nd, 2019 Joe Rogan Experience #1284, with Graham Hancock.
- The May 25th, 2011 BBC News post, “Egyptian pyramids found by infra-red satellite images."
- The November 2008 Ask Smithsonian post, "Gobekli Tepe: The World’s First Temple?"
- The June 17th, 2020 World Asia and India post, "500-year-old submerged temple resurfaces in Odisha's Nayagarh."
- The January 30th, 2017 Wired post, “Want to Be a Space Archaeologist? Here's Your Chance.”
- The July 12th, 2015 Commercial Space blog post. "Did RADARSAT-2 Find HMS Erebus?"
- The May 11th, 2016 Christian Science Monitor post, "How Canadian teenager used space archaeology in hunt for lost Mayan city."
- The April 27th, 2017 Research Gate posted conference paper "Implementation of Synthetic Aperture Radar and Geoinformation Technologies in the Complex Monitoring and Managing of the Mining Industry Objects."
- The June 10th, 2020 Security Boulevard post, “Using Machine Learning for Threat Detection."
- The IMDB post for the 2002 Stephen Speilberg movie "Minority Report."
- The IMDB post for the1964 Stanley Kubrick movie "Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb."
- The May/June 2011 Skeptical Inquirer post, "Anomaly Hunting."
- The November 2, 2016 Chycho post, "Anomalies, Prisons, and Geophysics: How Governments Use Data and How to Stop Them [ASMR]."
"Age of Ingenuity" tracks Canada's "innovation ecosystem," the organizations, agencies and individuals attempting to turn innovative Canadian start-ups into world class, billion dollar "unicorns," able to anchor industries and create jobs.
Age of Ingenuity Credits
Producer and Host - Chuck Black
Host and Contributor - Brian Orlotti
Host and Contributor - Al Calder
Associate Producer and Contributor - John Penturn
Music: Freesound House Flow by Jaturo licenced under a Creative Commons 0 Licence.
The Age of Ingenuity is created using ZOOM, Open Shot Video Editor, Gimp, various laptops and cell phones, plus lots and lots of coffee.
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Copyright disclaimer under section 107 of the US Copyright Act of 1976, allowing for “fair use” for purposes such as criticism and under section 29 of the 1921 Canadian Copyright Act allowing for “fair dealing” exemptions for criticism, review and news reporting.
Support the show on Patreon and Paypal.
AOI Associate Producer John Penturn here commenting on the some of the biggest questions there are & why we use the tools & technology described to pursue answers to them with such fervour. "Who are we, collectively (& then individually)? Where do we come from & what were we? It's not as if we can look back 10,000 years or more & see what human civilization was & how it worked & prospered - unless we can. Well we have the tools to get a good look & our on air triumvirate points out, it's fascinating primeval stuff. The oldest substantial evidence of civilization was previously around 4700 years ago of the oldest pyramids & this ha easily more then doubled that no. The guys mention ancient India,South America, Egypt & of then bring it back to (not quite so ancient but still fascinating to us) Canada that's just the beginning. In all seriousness is Atlantis next? Many serious scholars think it may very well be. WE no longer put people in billion dollar rockets i.e. Apollo & shove them into space to explore. First we look inwards & see where we come from & only then do we explore space far more cheaply & safely using the same tools. It's a new frontier Y whiz kids kike the 15 year old discussed will be the new tech entrepreneurs of tomorrow
ReplyDeleteOne thing's for sure,wildly interesting discoveries about ourselves are definitely coming in the next few years.
What made these advanced civilizations advance was the aspect of brainpower we explore in our second story. Pattern recognition which humans have on levels that obviously make us the preeminent species. What happens when we push the envelope & try to see the deepest patterns, where they lead & what they signify in the widest deepest ways? THATS when we encounter anomalies which when we make sense of them the whole universe opens up. Tricky stuff though as we indicate. The inner matter of truth is in it & these patterns will apply & deepen everything. What's completely clear is that we can't leave it to A.I. as Brian indicates. We have to stay grounded in our selves & our physicality. Books its been said (& not just by Brian) are extraordinary pieces of technology that aid memory & comprehension in similar ways that studies have shown writing does compared to typing. How wildly untrustworthy is AI at pattern recognition? Zuckerberg hinted at it when he told congress, "We don't understand the decision making processes of AI" If you want to know how mind blowing the truth is underlying that (NOT hyperbole) This article from the Guardian makes it more then clear >
https://www.theguardian.com/technology/2018/aug/29/coding-algorithms-frankenalgos-program-danger