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Our Matrix-like Computational Universe: Programmable Realities & Cybernetic Apotheosis

Do we live in a matrix? Is our universe a metaverse in the next universe up? What is the code of reality? Is this a simulated multiverse? Can we cheat death and live indefinitely long? These are some of the questions we discuss in this recent talk.

#CyberneticTheory #CyberneticSingularity #DigitalPhysics #CodeofReality #CyberneticTheoryofMind #EvolutionaryCybernetics #consciousness #PhilosophyofMind #OmegaPointCosmology #PhysicsofTime #SimulationTheory #GlobalMind #SyntellectHypothesis #AGI #VR #Metaverse #TechnologicalSingularity #Transhumanism #Posthumanism #CyberneticImmortality #SyntheticTelepathy #MindUploading #neurotechnology #biotechnology #nanotechnology #FermiParadox #DarkMatter #DarkEnergy #cybergods ​#cybernetics

Understanding Brain Mechanisms Underpinning Physical Movement and Exercise

Over the last two decades, scientists have postulated several theories that has helped to explain how we acquire motor skills, and the decisions we make in order to execute motor skills to navigate our environment. Additionally, the advent of neuroimaging techniques, such as electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have contributed significantly to our understanding of movement by providing possible neural correlates and processes that underpin various types of motor function. However, techniques such as EEG and fMRI are highly susceptible to motion artifacts during recording, which limits the range of movements that can be performed during scanning. This limitation impacts on the translational value of such findings in real-world applications.

To overcome the limitations of traditional neuroimaging paradigms, second generation neuroimaging devices such as portable EEG and functional near-infrared spectroscopy (fNIRS), and non-invasive brain stimulation techniques such as transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (TMS) can be used to study a broader range of dynamic movements and central changes associated with physical exercise. Both EEG and fNIRS can be applied concurrently with a motor task or exercise to understand its associated central response, while the application of non-invasive brain stimulation can help to establish causality by experimentally-induced facilitation or inhibition of specific neural networks.

In this research topic, we aim to showcase recent advances in the use of neuroimaging and non-invasive brain stimulation techniques to understand motor control processes and central adaptations to exercise across the lifespan and disease conditions. Submissions that are Original Research, Systematic Reviews and Meta-analysis, Literature review, Mini-review, Methods, and Perspective articles will be considered. Topics that cover, but not limited to, the following to domains are encouraged:

What Science Tells Us About Living Longer | Podcast | Overheard at National Geographic

A scientist shares what he’s learned about living longer, with the help of worms. Scientists are hard at work trying to understand what causes aging and how to help people stay healthy for longer. Biologist Matt Kaeberlein breaks down the science of longevity and tells us how he’s using a robot to test 100,000 aging drugs a year on microscopic worms and a long-term study on the aging of pet dogs. And we’ll leave the lab to visit Willie Mae Avery, the oldest person in Washington D.C., to hear what it’s like to live such a long life.

Portrait of 107-year-old Willie Mae Avery, D.C.‘s oldest living resident.
Credit: Photograph by Rebecca Hale, National Geographic.

➡ Subscribe: http://bit.ly/NatGeoSubscribe.
➡ Get more of Overheard at National Geographic here: https://bit.ly/OverheardPodcast.
➡ Catch up on all episodes of Overheard at National Geographic: https://on.natgeo.com/3n9D3cF

You can also listen to the Overheard at National Geographic podcast on these platforms:
➡ Apple: https://bit.ly/OverheardOnApple.
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➡ Stitcher: https://bit.ly/OverheardOnStitcher.
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➡ iHeart Radio: https://bit.ly/OverheardOniHeart.
➡ Castbox: https://bit.ly/OverheardOnCastbox.

#NationalGeographic #Overheard #Podcast.

About Overheard at National Geographic:

Is This The End For AI Art? Is Stable Diffusion In Danger?

Lately, a lot of anti-AI art groups started to emerge online, they started pressuring companies to ban any images generated by AI on their websites. Recently they managed to cancel Unstable Diffusion’s Kickstarter and Patreon page because of their disdain of AI art. They claim to be an open and welcoming community but are not afraid of going all out against people who don’t agree with their point of view. In this video, I will explain everything that happened recently in the AI art community, the dangers that represent these groups for freedom of expression and the future I see for AI art in general.

What do you think of this situation? Let me know in the comments!
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SOCIAL MEDIA LINKS!
✨ Support my work on Patreon: https://www.patreon.com/aitrepreneur.
⚔️ Join the Discord server: https://discord.gg/3ErYSdyUPt.
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Runpod: https://bit.ly/runpodAi.

#stablediffusion #aiartcommunity #aiartists.
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WATCH MY MOST POPULAR VIDEOS:
RECOMMENDED WATCHING — My “Stable Diffusion” Playlist:
►► https://bit.ly/stablediffusion.

RECOMMENDED WATCHING — My “Tutorial” Playlist:
►► https://bit.ly/TuTPlaylist.

Disclosure: Bear in mind that some of the links in this post are affiliate links and if you go through them to make a purchase I will earn a commission. Keep in mind that I link these companies and their products because of their quality and not because of the commission I receive from your purchases. The decision is yours, and whether or not you decide to buy something is completely up to you.

3 Ways to Use Artificial Intelligence to

Digital transformation is well underway at most companies these days. As more processes become digitized, more companies recognize the opportunities for Artificial Intelligence-driven efficiency gains. However, greater AI adoption still faces stumbling blocks, often present in the nature of an organization’s workflow.


One of the major stumbling blocks to AI adoption among organizations is the lack of a data-driven culture. Here are three ways organizations can become more data-driven to leverage AI better.

Part 1: Universal Media Synthesis, The Innovation Pyramid and Autolism

Universal media synthesis, the innovation pyramid and autolism — part 1

AI can now generate images and text that’s as good as a human. What happens when AI can generate all kinds of media as good as a human?

******Remember, the future is unknowable. I do not know the future. I speculate on what m_i_g_h_t happen given a set of starting assumptions. I can speculate about what’s possible but make sure to separate speculation from fact. If you understand these pretenses, then let us speculate about the future of technology.

Special Thanks to the following individuals for creating such great background music:

https://freesound.org/people/Rorschakk/sounds/636989/

https://freesound.org/people/ShortRecord/sounds/544416/

OpenAI ChatGPT: The Future Is Here!

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers.
❤️ Their mentioned post is available here: http://wandb.me/RLHF-OpenAI

Try #ChatGPT!
https://chat.openai.com/
https://openai.com/blog/chatgpt/

Our earlier paper with the translucent materials:

Separable Subsurface Scattering – Computer Graphics Forum 2015 (presented at EGSR 2015) – J. Jimenez, K. Zsolnai, A. Jarabo, C. Freude, T. Auzinger, X-C. Wu, J. von der Pahlen, M. Wimmer and D. Gutierrez

If you wish to read my latest paper on simulations that look almost like reality, it is available for free here:
https://rdcu.be/cWPfD

Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5

Tweet links:

CHIP Landmark Ideas: Ray Kurzweil

Rewriting Biology with Artificial Intelligence.

Ray Kurzweil.

Ray Kurzweil is one of the world’s leading inventors, thinkers, and futurists, with a thirty-year track record of accurate predictions. Called “the restless genius” by The Wall Street Journal and “the ultimate thinking machine” by Forbesmagazine, he was selected as one of the top entrepreneurs by Inc. magazine, which described him as the “rightful heir to Thomas Edison.” PBS selected him as one of the “sixteen revolutionaries who made America.” Ray was the principal inventor of the first CCD flat-bed scanner, the first omni-font optical character recognition, the first print-to-speech reading machine for the blind, the first text-to-speech synthesizer, the first music synthesizer capable of recreating the grand piano and other orchestral instruments, and the first commercially marketed large-vocabulary speech recognition software. Ray received a Grammy Award for outstanding achievements in music technology; he is the recipient of the National Medal of Technology, was inducted into the National Inventors Hall of Fame, holds twenty-one honorary Doctorates, and honors from three U.S. presidents. Ray has written five national best-selling books, including New York Times best sellers The Singularity Is Near (2005) and How To Create A Mind (2012). He is Co-Founder of Singularity Group and a Principal Researcher and AI Visionary at Google, looking at the long-term implications of technology and society.

The Computational Health Informatics Program (CHIP)

CHIP, founded in 1994, is a multidisciplinary applied research and education program at Boston Children’s Hospital. For more information, please visit our website www.chip.org.

The CHIP Landmark Ideas Series.

Quora launches Poe, a way to talk to AI chatbots like ChatGPT

Signaling its interest in text-generating AI systems like ChatGPT, Quora this week launched a platform called Poe that lets people ask questions, get instant answers and have a back-and-forth dialogue with AI chatbots.

Short for “Platform for Open Exploration,” Poe — which is invite-only and currently only available on iOS — is “designed to be a place where people can easily interact with a number of different AI agents,” a Quora spokesperson told TechCrunch via text message.

“We have learned a lot about building consumer internet products over the last 12 years building and operating Quora. And we are specifically experienced in serving people who are looking for knowledge,” the spokesperson said. “We believe much of what we’ve learned can be applied to this new domain where people are interfacing with large language models.”