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Category: media & arts – Page 70

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.

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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.

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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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Continue reading “Future Computers Will Be Radically Different (Analog Computing)” | >

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.
Visit our Website: http://www.isaacarthur.net.
Join the Facebook Group: https://www.facebook.com/groups/1583992725237264/
Support the Channel on Patreon: https://www.patreon.com/IsaacArthur.
Visit the sub-reddit: https://www.reddit.com/r/IsaacArthur/
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.

Continue reading “Advanced Metamaterials” | >

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.

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Over the past few decades, computer scientists have developed increasingly advanced technologies and tools to store large amounts of music and audio files in electronic devices. A particular milestone for music storage was the development of MP3 (i.e., MPEG-1 layer 3) technology, a technique to compress sound sequences or songs into very small files that can be easily stored and transferred between devices.

The encoding, editing and compression of media files, including PKZIP, JPEG, GIF, PNG, MP3, AAC, Cinepak and MPEG-2 files, is achieved using a set of technologies known as codecs. Codecs are compression technologies with two key components: an encoder that compresses files and a decoder that decompresses them.

There are two types of codecs, the so-called lossless and lossy codecs. During decompression, lossless codecs, such as PKZIP and PNG codecs, reproduce the exact same file as original files. Lossy compression methods, on the other hand, produce a facsimile of the original file that sounds (or looks) like the original but takes up less storage space in .

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“Robo Sapien” taken from the album “The Machinists Of Joy”.
Directed by: Jay Gillian.
Camera OP and Computer Animation: Shane Williams.
Produced by Cinematek Film & Television.
Robo Sapien provided by: JG and the Robots www.JGandtheRobots.com.

http://www.facebook.com/diekruppsofficial.
http://www.twitter.com/diekruppsband.
http://www.diekrupps.com

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In recent years, deep learning algorithms have achieved remarkable results in a variety of fields, including artistic disciplines. In fact, many computer scientists worldwide have successfully developed models that can create artistic works, including poems, paintings and sketches.

Researchers at Seoul National University have recently introduced a new artistic framework, which is designed to enhance the skills of a sketching . Their framework, introduced in a paper presented at ICRA 2022 and pre-published on arXiv, allows a sketching robot to learn both stroke-based rendering and motor control simultaneously.

“The primary motivation for our research was to make something cool with non-rule-based mechanisms such as deep learning; we thought drawing is a cool thing to show if the drawing performer is a learned robot instead of human,” Ganghun Lee, the first author of the paper, told TechXplore. “Recent deep learning techniques have shown astonishing results in the artistic area, but most of them are about generative models which yield whole pixel outcomes at once.”

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