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Tsakli (and related Buddhist artworks) Exhibition now started. I will add new updates over the coming weeks.


Tsakli (Tsakali) Tibetan, Mongolian & Himalayan Buddhist artwork. Paintings, drawings, antique prints, manuscripts, divination and alchemical items, tantra.

Let your cargo follow you while you travel comfortably with the gita plus cargo carrying robot. Double the size of the gita mini robot, this robot comes with pedestrian etiquette. In fact, this robot is perfect for families who need larger cargo space, business owners, or anyone who wants an extra set of hands. The sleek design looks unique and one of a kind. In fact, this robot also has a built-in speaker. It allows you to use the mygita app to stream music from your smartphone. With the help of cameras and radar technology, this robot can see its surroundings and pair with its user. In fact, it takes just one tap for the gita plus to pair to you. It stands and self-balances, braking automatically when needed and adjusting its speed to keep pace along the way.

Our monthly livestream Q&A session. Join us on 4pm EST, Sunday, September 25, and get your questions about the channel and episodes on chat to be answered!

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Music Courtesy of Epidemic Sound http://epidemicsound.com/creator

https://youtube.com/watch?v=R0NP5eMY7Q8&feature=share

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

Disclaimer:

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


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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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