A Matrioshka Brain is a supermassive structure in space consisting of processors and connected to each other into a massive computer around a sun harnessing its energy completely. So far we haven’t built one as we don’t have the technology for it but when we do the question will be if people will be lost in the vast computing power of the Matrishka brain.
Watch all 3 videos with Brendan Caulfield:
3. Future of Humanity https://youtu.be/XbhWEDhcdFk.
2. The Rockets of SpaceX 🚀https://youtu.be/VPgVS9qgBEM
1. The CAR company that will take us to SPACE🚀 https://youtu.be/Y0jiGkAH-pE
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#technology #futureofhumanity #elonmusk.
Do you want to find the GOLD in Life? The Uncle Gold Podcast focuses on success in life and how to improve everything we do, from our finances to our happiness, from personal development to social media.
To Listen to the full length interviews find us on all the popular Podcast streaming sites like Spotify, Apple Podcasts, Deezer, TuneIn, and others.
A first-of-its-kind quantum simulator could lead to the creation of never-before-seen materials powered by quantum phenomena.
How does the human brain work and how is it different from computers? If you think this is too complex to explain in a few minutes, you will be surprised. In this energetic and insightful talk, neuro-scientist Dr. Henning Beck gives insights into thought processes and tells you how you can create new ideas.
Dr. Henning Beck, neuroscientist and author, supports businesses to use brain-based approaches in order to develop innovative and efficient workflows. He studied biochemistry in Tübingen from 2003 to 2008. After his diploma thesis, he started his research at the Hertie Institute for Clinical Brain Research and intensified his work at the Institute of Physiological Chemistry at the University of Ulm. Supported by a PhD scholarship granted by the Hertie Foundation he did his doctorate at the Graduate School of Cellular & Molecular Neuroscience in Tübingen. He expanded his scientific expertise by an International Diploma in Project Management at the University of California, Berkeley in 2013. Until 2014, he worked for start-ups in the San Francisco Bay Area to develop creative workspace designs and advanced communication styles based on neuroscientific principles.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community.
Quantum collaboration demonstrates in Chicagoland the first steps toward functional long-distance quantum networks over deployed telecom fiber optics, opening the door to scalable quantum computing — https://bit.ly/3QXe780
Recently, researchers have been incorporating graphene-based materials into superconducting quantum computing devices, which promise faster, more efficient computing, among other perks. Until now, however, there’s been no recorded coherence for these advanced qubits, so there’s no knowing if they’re feasible for practical quantum computing.
In a paper published today in Nature Nanotechnology, the researchers demonstrate, for the first time, a coherent qubit made from graphene and exotic materials. These materials enable the qubit to change states through voltage, much like transistors in today’s traditional computer chips — and unlike most other types of superconducting qubits. Moreover, the researchers put a number to that coherence, clocking it at 55 nanoseconds, before the qubit returns to its ground state.
The work combined expertise from co-authors William D. Oliver, a physics professor of the practice and Lincoln Laboratory Fellow whose work focuses on quantum computing systems, and Pablo Jarillo-Herrero, the Cecil and Ida Green Professor of Physics at MIT who researches innovations in graphene.
There are 45+ papers from Amazon scientists and researchers on display at the annual meeting of the North American chapter of the Association for Computational … See more.
The breadth and originality of Amazon’s natural-language-processing research are on display at the annual meeting of the North American chapter of the Association for Computational Linguistics.
Circa 2021
Suppose you are trying to transmit a message. Convert each character into bits, and each bit into a signal. Then send it, over copper or fiber or air. Try as you might to be as careful as possible, what is received on the other side will not be the same as what you began with. Noise never fails to corrupt.
In the 1940s, computer scientists first confronted the unavoidable problem of noise. Five decades later, they came up with an elegant approach to sidestepping it: What if you could encode a message so that it would be obvious if it had been garbled before your recipient even read it? A book can’t be judged by its cover, but this message could.
They called this property local testability, because such a message can be tested super-fast in just a few spots to ascertain its correctness. Over the next 30 years, researchers made substantial progress toward creating such a test, but their efforts always fell short. Many thought local testability would never be achieved in its ideal form.