Year 2022 face_with_colon_three
For more than 250 years, mathematicians have wondered if the Euler equations might sometimes fail to describe a fluid’s flow. A new computer-assisted proof marks a major breakthrough in that quest.
ALGORITHMS TURN PHOTO SHAPSHOTS INTO 3D VIDEO AND OR IMMERSIVE SPACE. This has been termed “Neural Radiance Fields.” Now Google Maps wants to turn Google Maps into a gigantic 3D space. Three videos below demonstrate the method. 1) A simple demonstration, 2) Google’s immersive maps, and 3) Using this principle to make dark, grainy photographs clear and immersive.
This technique is different from “time of flight” cameras which make a 3D snapshot based on the time light takes to travel to and from objects, but combined with this technology, and with a constellation of microsatellites as large as cell phones, a new version of “Google Earth” with live, continual imaging of the whole planet could eventually be envisioned.
2) https://www.youtube.com/watch?v=EUP5Fry24ao.
3)
We present RawNeRF, a method for optimizing neural radiance fields directly on linear raw image data. More details at https://bmild.github.io/rawnerf.
Do you want to get started with Quantum Machine Learning? Have a look at Hands-On Quantum Machine Learning With Python.
This article will explain the most important parts of the Quantum Approximate Optimization Algorithm (QAOA). QAOA is a machine learning algorithm that you can use to solve combinatorial optimization problems.
Summary: Examining the cognitive abilities of the AI language model, GPT-3, researchers found the algorithm can keep up and compete with humans in some areas but falls behind in others due to a lack of real-world experience and interactions.
Source: Max Planck Institute.
Researchers at the Max Planck Institute for Biological Cybernetics in Tübingen have examined the general intelligence of the language model GPT-3, a powerful AI tool.
“A machine… of intelligent design.”
For the algorithm: UBI, singularity, Sydney bing ai, bing ai, microsoft, OpenAI, open ai, andrej karpathy, Ilya Sutskever, agi, artificial general intelligence, AI, ai, artificial intelligence, deep learning, how do neural networks work?, neural networks, machine learning, chatgpt, ChatGPT, GPT, bing, math, google, tech, technology, utopia.
A cybersecurity technique that shuffles network addresses like a blackjack dealer shuffles playing cards could effectively befuddle hackers gambling for control of a military jet, commercial airliner or spacecraft, according to new research. However, the research also shows these defenses must be designed to counter increasingly sophisticated algorithms used to break them.
Many aircraft, spacecraft and weapons systems have an onboard computer network known as military standard 1,553, commonly referred to as MIL-STD-1553, or even just 1553. The network is a tried-and-true protocol for letting systems like radar, flight controls and the heads-up display talk to each other.
Securing these networks against a cyberattack is a national security imperative, said Chris Jenkins, a Sandia cybersecurity scientist. If a hacker were to take over 1,553 midflight, he said, the pilot could lose control of critical aircraft systems, and the impact could be devastating.
I explain what time dilation is with examples and evidence based experiments. Time slowing down is an actual thing that we experience and use in our technologies.
If you enjoyed the video, liking it and subbing will do wonders for the YouTube algorithm. Thank you!
Claim your SPECIAL OFFER for MagellanTV here: https://try.magellantv.com/arvinash Start your free trial TODAY so you can watch The Most Powerful Black Holes in the Universe” about the extremes of time and space, and the rest of MagellanTV’s science collection: https://www.magellantv.com/watch/the-most-powerful-black-hol…niverse-4k.
REFERENCES
The Tempest by Peter Cawdron: https://tinyurl.com/2ep4uzvs.
Inside Black Holes: https://youtu.be/iUr8Obv_DeA
How Black Holes form: https://youtu.be/7xCgnMqIgPI
How Stable orbits form around Black Holes: https://tinyurl.com/2klz9mfd.
CHAPTERS
0:00 Karl Schwarzschild theorizes black holes.
1:58 Inspiration for this video.
3:16 How black holes form.
5:28 What is the Event Horizon?
7:25 How Time flows near & inside a black hole.
9:57 How can Black Holes be so bright if no light escapes?
11:34 How do we detect black holes if we can’t see them?
12:29 Can life form on a planet orbiting a black hole?
14:59 How long do black holes last?
SUMMARY
Karl Schwarzschild crafted the first exact solution to Einstein’s equations of general relativity. He found that as gravity increased around an object, there must be a point where even light could not escape. He theorized black holes.
Stars are in a balance between gravity trying to collapse it inward, and energy of fusion in its core which pushes outward. But when large stars run out of fuel, gravity causes it to collapse. If the star is massive enough, this results in a supernova. A black hole remains in the center of the debris, if the collapsed core has a mass of 2 to 3 times the mass of our sun.
In a Black Hole, General relativity says all its mass is collapsed into an infinitesimally small volume, called a singularity. A singularity has all its mass in zero volume of space, thus it has infinite density. But infinities usually mean errors in math, so singularities may not be real.
This is a recording of the SingularityNET Ecosystem leaders meeting, which was recorded on Monday, October 31st, 2022, including updates on projects progress, exciting news, and discussions around key initiatives.
SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol.
We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.
Website: https://singularitynet.io.
Discord: https://discord.gg/snet.
Forum: https://community.singularitynet.io.
Telegram: https://t.me/singularitynet.
Twitter: https://twitter.com/singularity_net.
Facebook: https://facebook.com/singularitynet.io.
Instagram: https://instagram.com/singularitynet.io.
Github: https://github.com/singnet.
Linkedin: https://www.linkedin.com/company/singularitynet
This sounds a lot like cryptomining but it also doesn’t. Cryptomining has nothing to do with machine learning algorithms and, unlike machine learning, cryptomining’s only value is producing a highly speculative digital commodity called a token that some people think is worth something and so are willing to spend real money on it.
This gave rise to a cryptobubble that drove a shortage of GPUs over the past two years when cryptominers bought up all the Nvidia Ampere graphics cards from 2020 through 2022, leaving gamers out in the cold. That bubble has now popped, and GPU stock has now stabilized.
But with the rise of ChatGPT, are we about to see a repeat of the past two years? It’s unlikely, but it’s also not out of the question either.