30 Animals That Made Us Smarter - Dolphin and tsunami detector
Reset with Sasha-Ann Simons - Nick Offerman Loves The Simple Things In Life
Actor, author, and woodworker Nick Offerman talks about his family, his time in Chicago, and his philosophy on life as he prepares to take his one-man show on the road. He’ll hit the Chicago Theater Sept. 15th.
Curious City - The Cha-Cha Slide And More: Which Dances Were Invented In Chicago?
Don your dancing shoes as we track down the Chicago band members, musicians, and dancers who helped create five iconic moves.Â
Opening Arguments - Law’d Awful Movies #28: Alex Jones Deposition
Hey folks! We thought we'd release this LAM to everyone, because it was particularly interesting and educational. We hope you enjoy it, and maybe it will inspire some new folks to hop on over to patreon.com/law to get more fun bonus stuff like this!
Unexpected Elements - Nanotube computer says hello
A computer processor made of carbon nanotubes is unveiled to the world. Also, the continuing quest for nuclear fusion energy, and the stats on crocodile attacks since the 1960s.
Satellites have transformed our lives, giving us digital communications, navigation and observations of Earth, and even an artificial place to live above the atmosphere: The International Space Station. But, would more of these satellites and stations help us get back to the Moon, as well as further into the solar system? What else would astronauts need for living beyond Earth? We ask the engineers working on the possibilities – from communications satellites that could transform lunar missions to a brand new moon-orbiting space station: The Lunar Gateway.
These technologies could help humans get back to the Moon, and perhaps one day to Mars, for hopefully reduced costs – but funding missions beyond our planet still isn’t going to be cheap. Why might we need deep space-based infrastructure, and how could it help humanity back here on Earth?
(Photo: The world's first 16 bit microprocessor made of carbon nanotubes. Credit: Max Shulaker)
The Skeptics' Guide to the Universe - The Skeptics Guide #738 – Aug 31 2019
Lex Fridman Podcast - Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning
Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founder of convolutional neural networks, in particular their early application to optical character recognition. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon.
Python Bytes - #145 The Python 3 “Y2K” problem
- friendly-traceback
- * Pandas Users Survey*
- * python3 “Y2K” problem (python3.10 / python4.0)*
- pypi research
- * DaPy*
- python-remote-pdb
- Extras
- Joke
Cato Daily Podcast - Johnson & Johnson, Opioids, and Public Nuisance Law
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