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A look at revolutionary new materials with seemingly impossible properties.
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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.

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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.

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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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Fascinating perspective on a subject most of us are deeply familiar with.

Thank you to Full Sail University for sponsoring this video! Check them out at https://www.fullsail.edu/wisecrack.

Is AI coming for us all?

Artificial technology has become something of a boogeyman haunting our futures in unknowable ways. But will this technology change the world, and if so, will we have any control over those changes? Let’s find out in this Wisecrack Edition on Artificial Intelligence: How Afraid Should We Be?

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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.

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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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By Robert Davis and Desiree Vogt-Lee

Quantum computing is notoriously counterintuitive; it challenges us to grapple with concepts that can be difficult to imagine. We often rely on our sense of sight to make those concepts a little easier to grasp, by representing quantum information with visualization models like the Q-sphere or the circuit diagram, and even creative visual arts projects like the recent Quantum Circuit Disks series. But what happens when we represent quantum using not only imagery, but also sound?

One team of Australian researchers is showing the world exactly what that looks like with a project that turns quantum circuits into music videos. That project, which the creators have named “qMuVi” (“quantum Music Video”), earned the titles of both 1st place winner and Community Choice winner at the recent Qiskit Hackathon Melbourne, a hybrid in-person and virtual event held in early July that marked the first ever Qiskit Hackathon in Australia. The event brought together 35 participants over four days to learn about quantum computing and Qiskit, and to use their new knowledge to hack together a diverse array of novel quantum computing projects. The event as a whole was a tremendous success. But before we talk about that, let’s take a closer look at that winning quantum music videos project.

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The TARDIS is the iconic time machine and spacecraft from the popular sci-fi series Doctor Who. The TARDIS functions by folding space using technology that taps into higher dimensions. But is there any scientific basis for this?

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Written, filmed, & edited by OrangeRiver.

–Music in this video–
Holfix: https://www.youtube.com/holfix.
Sam Kužel: https://soundcloud.com/samkuzel.

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Wearable human-machine interface devices, HMIs, can be used to control machines, computers, music players, and other systems. A challenge for conventional HMIs is the presence of sweat on human skin.

In Applied Physics Reviews, scientists at UCLA describe their development of a type of HMI that is stretchable, inexpensive, and waterproof. The device is based on a soft magnetoelastic sensor array that converts mechanical pressure from the press of a finger into an .

The device involves two main components. The first component is a layer that translates mechanical movement to a magnetic response. It consists of a set of micromagnets in a porous silicone matrix that can convert the gentle fingertip pressure into a magnetic field variation.

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