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US Military Announces Plans for Satellite Orbiting the Moon
The US military is looking to have spy satellites patrol the Moon’s orbit, according to a recently shared video first spotted by Ars Technica.
The two-minute video, titled “Cislunar Highway Patrol System (CHPS)” and uploaded by the US Air Force Research Lab (AFRL) this week, details the project.
“Until now, the United States space mission extended 22,000 miles above Earth,” a narrator explains in the brief video. “That was then, this is now.”
Land Rover Is Sending an Owner to Space With Virgin Galactic
Land Rover is teaming up with Virgin Galactic for the Adventure of a Lifetime sweepstakes, which will see one lucky Land Rover owner literally fly to space at some point in the near future.
Anyone who currently owns a Land Rover can register online by submitting their vehicle’s VIN and some other bits of info, which counts as one entry. Placing an order for a new Land Rover nets 50 entries, while actually buying or leasing a vehicle gets you 100 entries. Anyone who enters also gets credit for referring people to the sweepstakes, and there’s no limit to how many entries you can get.
This isn’t the first time Land Rover has partnered with Richard Branson’s space-tourism venture. Range Rover SUVs have been used to tow the company’s space planes at various events and presentations, and in 2019 a special Range Rover Astronaut Edition was unveiled. That model could only be purchased by those who signed up to be an astronaut with Virgin, and it came with unique styling elements. As the Astronaut Edition was based on the now-old Range Rover, we wouldn’t be surprised if Land Rover releases a new version based on the fifth-gen Range Rover that was revealed last year.
PLAN A: Our team developed a simulation for a plausible escalating war between the United States and Russia using realistic nuclear force postures, targets and fatality estimates
It is estimated that there would be more than 90 million people dead and injured within the first few hours of the conflict.
For more, see https://sgs.princeton.edu/the-lab/plan-a.
A collaboration with Alex Wellerstein (http://blog.nuclearsecrecy.com) and Jeff Snyder (https://music.princeton.edu/people/jeff-snyder).
When Your Boss Becomes a Hologram
Google, Microsoft, and a slew of startups are experimenting with 3D communications.
We’re Building Computers Wrong
Visit https://brilliant.org/Veritasium/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Digital computers have served us well for decades, but the rise of artificial intelligence demands a totally new kind of computer: analog.
Thanks to Mike Henry and everyone at Mythic for the analog computing tour! https://www.mythic-ai.com/
Thanks to Dr. Bernd Ulmann, who created The Analog Thing and taught us how to use it. https://the-analog-thing.org.
Moore’s Law was filmed at the Computer History Museum in Mountain View, CA.
Welch Labs’ ALVINN video: https://www.youtube.com/watch?v=H0igiP6Hg1k.
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References:
Crevier, D. (1993). AI: The Tumultuous History Of The Search For Artificial Intelligence. Basic Books. – https://ve42.co/Crevier1993
Valiant, L. (2013). Probably Approximately Correct. HarperCollins. – https://ve42.co/Valiant2013
Rosenblatt, F. (1958). The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65, 386–408. – https://ve42.co/Rosenblatt1958
NEW NAVY DEVICE LEARNS BY DOING; Psychologist Shows Embryo of Computer Designed to Read and Grow Wiser (1958). The New York Times, p. 25. – https://ve42.co/NYT1958
Mason, H., Stewart, D., and Gill, B. (1958). Rival. The New Yorker, p. 45. – https://ve42.co/Mason1958
Alvinn driving NavLab footage – https://ve42.co/NavLab.
Pomerleau, D. (1989). ALVINN: An Autonomous Land Vehicle In a Neural Network. NeurIPS, 1305-313. – https://ve42.co/Pomerleau1989
ImageNet website – https://ve42.co/ImageNet.
Russakovsky, O., Deng, J. et al. (2015). ImageNet Large Scale Visual Recognition Challenge. – https://ve42.co/ImageNetChallenge.
AlexNet Paper: Krizhevsky, A., Sutskever, I., Hinton, G. (2012). ImageNet Classification with Deep Convolutional Neural Networks. NeurIPS, (25)1, 1097–1105. – https://ve42.co/AlexNet.
Karpathy, A. (2014). Blog post: What I learned from competing against a ConvNet on ImageNet. – https://ve42.co/Karpathy2014
Fick, D. (2018). Blog post: Mythic @ Hot Chips 2018. – https://ve42.co/MythicBlog.
Jin, Y. & Lee, B. (2019). 2.2 Basic operations of flash memory. Advances in Computers, 114, 1–69. – https://ve42.co/Jin2019
Demler, M. (2018). Mythic Multiplies in a Flash. The Microprocessor Report. – https://ve42.co/Demler2018
Aspinity (2021). Blog post: 5 Myths About AnalogML. – https://ve42.co/Aspinity.
Wright, L. et al. (2022). Deep physical neural networks trained with backpropagation. Nature, 601, 49–555. – https://ve42.co/Wright2022
Waldrop, M. M. (2016). The chips are down for Moore’s law. Nature, 530144–147. – https://ve42.co/Waldrop2016
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