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Quantum algorithms: An algorithm is a sequence of steps that leads to the solution of a problem. In order to execute these steps on a device, one must use specific instruction sets that the device is designed to do so.

Quantum computing introduces different instruction sets that are based on a completely different idea of execution when compared with classical computing. The aim of quantum algorithms is to use quantum effects like superposition and entanglement to get the solution faster.

Source:
Artificial Intelligence vs Artificial General Intelligence: Eric Schmidt Explains the Difference.


https://youtu.be/VFuElWbRuHM

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A possible world fortunately not the only one to choose from the choice is ours.


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Intro and Outro music composed by Roberto Cipollina — robertocipollina.com.
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Young people seeking to slake their curiosity are increasingly turning to TikTok as a substitute search engine, with the addictive video-sharing app filled with everything from fried chicken recipes to music history deep dives. This is typically fine if you’re just after movie recommendations or a place to have lunch. Unfortunately, new research by NewsGuard has found TikTok also contains a concerning volume of misinformation about serious topics.

When looking for prominent news stories in September, the fact checking organisation found misinformation in almost 20 percent of videos surfaced by the app’s search engine. 540 TikTok videos were analysed as part of this investigation, with 105 found to contain “false or misleading claims.”

“This means that for searches on topics ranging from the Russian invasion of Ukraine to school shootings and COVID vaccines, TikTok’s users are consistently fed false and misleading claims,” wrote NewsGuard.

Summary: Researchers have discovered 69 genetic variants associated with musical beat synchronization, or the ability to move in sync with the beat of music.

Source: Vanderbilt University.

The first large-scale genomic study of musicality — published on the cover of today’s Nature Human Behaviour — identified 69 genetic variants associated with beat synchronization, meaning the ability to move in synchrony with the beat of music.

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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Written by Derek Muller, Stephen Welch, and Emily Zhang.
Filmed by Derek Muller, Petr Lebedev, and Emily Zhang.
Animation by Iván Tello, Mike Radjabov, and Stephen Welch.
Edited by Derek Muller.
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound.
Produced by Derek Muller, Petr Lebedev, and Emily Zhang.

A look at revolutionary new materials with seemingly impossible properties.
Start protecting your internet experience today with 77% off a 3 year plan by using code ‘ISAAC’ at http://www.NordVPN.com/ISAAC
Metamaterials offer many properties normally not found in nature, from superior lenses and communications to stealth applications, potentially offering invisibility. Today we’ll examine the science behind that and look at many other possible applications.

AMA thread tonight (Thursday March 29) at 6 PM EST over at /r/space on reddit: https://www.reddit.com/r/space/comments/881rbl/ama_this_is_i…_anything/

SFIA Merchandise available: https://www.signil.com/sfia.
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Listen or Download the audio of this episode from Soundcloud: https://soundcloud.com/isaac-arthur-148927746/advanced-metamaterials.
Cover Art by Jakub Grygier: https://www.artstation.com/artist/jakub_grygier.

Script Editors.
Derek Hightower.
Keith Blockus.
Luke Parrish.
Mitch Armstrong.

Graphics Team:
Edward Nardella.
Jarred Eagley.
Justin Dixon.
Katie Byrne.
Kris Holland of Mafic Stufios: www.maficstudios.com.
Misho Yordanov.
Pierre Demet.
Sergio Botero: https://www.artstation.com/sboterod?fref=gc.
Stefan Blandin.

Music Supervisor.

When one of China’s biggest celebrities, Simon Gong —also known as Gong Jun—released a new music video in June 2022, it quickly attracted 15 million views on the country’s Twitter-like microblogging site Weibo. But the event also stood out for a different reason—one that only eagle-eyed fans might have noticed. The singer in the video was not Gong himself, but a digital replica created by Baidu, a “digital human” powered by artificial intelligence (AI). Likewise, the lyrics and melody were generated by AI, marking the recording as China’s first AI-generated content music video.

Deloitte defines digital humans as AI-powered virtual beings that can produce a whole range of human body language. In recent years, businesses focused on providing round-the-clock services, as well as the media and entertainment industry, are increasingly adopting this nascent technology, aiming to capture a growing market. And as digital humans increasingly populate other sectors like retail, health care, and finance, Emergen Research forecasts that the global market for digital humans will jump to about $530 billion in 2030, from $10 billion in 2020.