Ray Kurzweil and Neil deGrasse Tyson Talk Future

In this interview, Neil deGrasse Tyson (astrophysicist) talks with futurist Ray Kurzweil about the exponential progression of computing and touches on some of Kurzweil’s key predictions.  If you’re familiar with Kurzweil’s public talks and interviews then you know there are certain salient points he likes to make in regards to the exponential nature of information technology (see Kurzweil’s Law of Accelerating Returns).  I liked this video because it is a good collection of such points as well as a couple insights I hadn’t heard him express previously.  In this video, Tyson acts primarily in the capacity of host.


Runtime: 20:42


This video can also be found here.

Video Info:

Published on May 16, 2017

Future of Earth Year 2030 in Dr Neil deGrasse Tyson & Dr Ray Kurzweil POV. Documentary 2018
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How Google’s Deep Dream Works

The following video is a general description of how Google’s Deep Dream computer vision (image recognition) works.  Deep Dream uses a convolutional neural network to look for patterns in an image or video based on large sets of images previously analyzed for defining characteristics.  The beauty of Deep Dream is that it can modify images to accent fragments within the image to more closely resemble the aspects from images it has previously evaluated.  The effects of such augmentation can be quite striking; creating strange, almost psychedelic, results.


Runtime: 13:42


This video can also be found here.

Video Info:

Published on Aug 26, 2016

Surreal images created by Google’s Deep Dream code flooded the internet in 2015 but how does deep dream do it? Image analyst Dr Mike Pound.

Inside a Neural Network: https://youtu.be/BFdMrDOx_CM
Cookie Stealing: https://youtu.be/T1QEs3mdJoc
FPS & Digital Video: https://youtu.be/yniSnYtkrwQ
Password Cracking: https://youtu.be/7U-RbOKanYs
Gamer’s Paradise: https://youtu.be/HZzdXR0bV8o

Images seen/manipulated in this video: https://drive.google.com/open?id=0Bwd…

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This video was filmed and edited by Sean Riley.

Computer Science at the University of Nottingham: http://bit.ly/nottscomputer

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AI Births New AI

This short video from producer Dagogo Altraide (found on the the ColdFusion YouTube channel) discusses a Google Brain AI (artificial intelligence) which created it’s own AI offspring that “performs better than anything else in it’s feild” according to the video (this particular field is computer vision).  Google uses an approach called automatic machine learning (or AutoML) to recursively generate new architectures and give feedback to the controller neural net.  The “parent” neural net is called AutoML and the “child” neural net is called NASNet.  NASNet is a real time image recognition AI.  NASNet performed with more accuracy and efficiency than any AI of it’s kind created by humans.


Runtime: 5:52


This video can also be found here.

Video Info:

Published on Jan 15, 2018

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In this video we talk about Auto ML by Google brain. Auto ML is one of the first successful automated AI projects.

Hi, welcome to ColdFusion (formerly known as ColdfusTion).
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Sources:

http://automl.info

http://www.ml4aad.org/automl/

https://futurism.com/google-artificia…

https://futurism.com/googles-new-ai-i…

https://research.googleblog.com/2017/…

https://www.youtube.com/watch?v=92-Do…

http://research.nvidia.com/publicatio…

//Soundtrack//

0:00 Tchami – After Life (Feat. Stacy Barthe)

0:40 Delectatio – Everything Is A Dream

1:45 Ricky Eat Acid – A Smoothie Robot For My Moon Mansion

3:37 Catching Flies – The Long Journey Home

4:40 Gryffin – Heading Home (feat. Josef Salvat)

5:18 Faux Tales – Weightless (feat. Luke Cusato)

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Google’s DeepMind AI

This video explain’s Google’s DeepMind AI.  The goal of the DeepMind project is to develop general purpose algorithms which, along with the development of artificial intelligence, will teach us more about the human brain.  Part of the DeepMind research was a project called AlphGo which beat Go world champion Lee Sedol in 2015.  Due to the intuitive nature of the game, it was not expected that an AI would succeed in beating a Go champion for at least another decade.  DeepMind uses a type of machine learning called deep reinforcement learning.  Machine learning is not to be confused with expert systems.  Expert systems work within predefined (pre-programmed) parameters whereas machine learning relies upon pattern recognition algorithms.


Runtime:13:44


This video can also be found here.

Video Info:

Published on May 1, 2016

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Hi, welcome to ColdFusion (formally known as ColdfusTion).
Experience the cutting edge of the world around us in a fun relaxed atmosphere.

Sources:

Why AlphaGo is NOT an “Expert System”: https://googleblog.blogspot.com.au/20…

“Inside DeepMind” Nature video:
https://www.youtube.com/watch?v=xN1d3…

“AlphaGo and the future of Artificial Intelligence” BBC Newsnight: https://www.youtube.com/watch?v=53YLZ…

http://www.nature.com/nature/journal/…

http://www.ft.com/cms/s/2/063c1176-d2…

http://www.nature.com/nature/journal/…

https://www.technologyreview.com/s/53…

https://medium.com/the-physics-arxiv-…

https://www.deepmind.com/

http://www.forbes.com/sites/privacynotice/2014/02/03/inside-googles-mysterious-ethics-board/#5dc388ee4674

https://medium.com/the-physics-arxiv-…

http://www.theverge.com/2016/3/10/111…

https://en.wikipedia.org/wiki/Demis_H…

https://en.wikipedia.org/wiki/Google_…

//Soundtrack//

Disclosure – You & Me (Ft. Eliza Doolittle) (Bicep Remix)

Stumbleine – Glacier

Sundra – Drifting in the Sea of Dreams (Chapter 2)

Dakent – Noon (Mindthings Rework)

Hnrk – fjarlæg

Dr Meaker – Don’t Think It’s Love (Real Connoisseur Remix)

Sweetheart of Kairi – Last Summer Song (ft. CoMa)

Hiatus – Nimbus

KOAN Sound & Asa – This Time Around (feat. Koo)

Burn Water – Hide

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Nell Watson Discusses Quantum Mechanical Processes

In this video, Nell Watson, co-founder (along with Alexander Vandevelde and Wim Devos) of QuantaCorp (previously Poikos), discusses “quantum mechanical processes” and how the study of natural biological processes can lead to better computational algorithms.  In the video, Watson refers to “reservoir computing” which is the idea that “you can turn different physical properties of materials into complex computation.”


Runtime: 14:59


This video can also be found here.

Video Info:

Published on Nov 16, 2017

Recent experiments in Optoelectronic reservoir computing show that computation can be performed within everyday physical media. This suggests intriguing possibilities with regards to the future of programmable matter and ubiquitous computing. It also raises the question of whether such computational phenomena may be found within nature, contributing to the seemingly-intelligent responses of plants, for example, or assisting the manifestation of certain complex biochemical processes.
Nell Watson has a longstanding interest in the philosophy of technology, and how extensions of human capacity drive emerging social trends. Watson lectures globally on a broad spectrum of AI-related topics. In 2010, Nell founded Poikos, a machine learning-driven AI for body measurement. She is also Co-Founder of OpenEth.org. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

Intel’s 49-qubit Quantum Chip and Mobileye’s Self Driving Car, Presented at CES 2018

This video is a look at Intel’s new 49-qubit quantum chip and Mobileye’s self driving/driver assist technology.  This presentation took place at CES 2018Loihi is the name of Intel’s prototype neuromorphic quantum chip.

Mike Davies, Jim Held, and Jon Tse appear in the presentation’s video expo to discuss the neuromorphic chip’s inspiration, goals, and possible applications.

Senior Vice President of Intel and CEO/CTO of Mobileye, Amnon Shashua, also presents self driving and driver assist technology.


Runtime: 20:20


This video can also be found here.

Video Info:

Published on Jan 9, 2018

Intel’s CES 2018 keynote focused on its 49-qubit quantum computing chip, VR applications for content, its AI self-learning chip, and an autonomous vehicles platform.

 

Building a SUPER BRAIN – The Human Brain Project

Here’s a video called Building a Super Brain.  It’s about the Human Brain Project.  Among the HBP’s primary objective is the development of brain simulation technology.  Exciting work!


 

This video can also be found at https://www.youtube.com/watch?v=SKhu8ah5WMI&app=desktop

Video Info:

Published on Oct 10, 2013

Website: https://www.humanbrainproject.eu
The ‘Human Brain Project’ is a massive European initiative with the aim of building the worlds first and complete human brain on a supercomputer. Among the goals of this mega project are trying to reach the next generation in fields like medicine, robotics and supercomputing. Including trying to understand and help solve dreadful brain deceases like Parkinson, Alzheimer, Epilepsy’s and many others.

The project is mainly founded and funded through the support of the European Union ‘7th framework program’ with over 1 Billion Euro’s in initial investments for the projected 10 year program. The project is likely to advance beyond that when the first complete human brain simulations are going to give scientists huge new insights into many of the brain deceases and afflictions currently still unsolved.

The huge supercomputing developments are going to be accessible by other agencies in Europe as well. Like for advancing weather predictions, subatomic physics simulations and interstellar simulations for astronomers, among other fields. The neoromorphic technologies are expected to have a big impact on robotics as the technologies will allow robots to start processing data from their environments more in line with human brains and the brains of other higher animals.

Ray Kurzweil at TED Discussing Brain Enhancement

Preeminent singularitarianRay Kurzweil, delivers a short presentation at a 2014 TED talk.  The video is called “Ray Kurzweil: Get ready for hybrid thinking” and can be found at https://www.youtube.com/watch?v=PVXQUItNEDQ

Video info:

Published on Jun 2, 2014

Two hundred million years ago, our mammal ancestors developed a new brain feature: the neocortex. This stamp-sized piece of tissue (wrapped around a brain the size of a walnut) is the key to what humanity has become. Now, futurist Ray Kurzweil suggests, we should get ready for the next big leap in brain power, as we tap into the computing power in the cloud.

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and much more.
Find closed captions and translated subtitles in many languages at http://www.ted.com/translate

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Google and NASA’s Quantum Artificial Intelligence Lab

This is a video I posted previously along with an article from Wired (on quantum computing with D-Wave), but it’s a good stand alone video and I thought it deserved to have it’s own place at Dawn of Giants.  The video is presented by Jason Silva, the host of Brain Games (great show!).

The video (“Google and NASA’s Quantum Artificial Intelligence Lab”) can be found on YouTube at https://www.youtube.com/watch?v=CMdHDHEuOUE

Runtiume: 6:28

Video sources:

Published on Oct 11, 2013

A peek at the early days of the Quantum AI Lab: a partnership between NASA, Google, USRA, and a 512-qubit D-Wave Two quantum computer. Learn more at http://google.com/+QuantumAILab

This is a fun little piece on transhumanism…

This is a documentary I found on YouTube called, “Bionics, Transhumanism, and the end of Evolution Full Documentary“.

I like a little more hard science in my documentaries, but this one is worth the watch for the robotics, if nothing else.

Runtime: 52 minutes

 

 

From the site:

Published on Mar 17, 2014

Transhumanism (abbreviated as H+ or h+) is an international cultural and intellectual movement with an eventual goal of fundamentally transforming the human condition by developing and making widely available technologies to greatly enhance human intellectual, physical, and psychological capacities.[1] Transhumanist thinkers[who?] study the potential benefits and dangers of emerging technologies that could overcome fundamental human limitations, as well as the ethics of developing and using such technologies.[2] The most common thesis put forward is that human beings may eventually be able to transform themselves into beings with such greatly expanded abilities as to merit the label “posthuman”.[1]

The contemporary meaning of the term transhumanism was foreshadowed by one of the first professors of futurology, FM-2030, who taught “new concepts of the Human” at The New School in the 1960s, when he began to identify people who adopt technologies, lifestyles and worldviews transitional to “posthumanity” as “transhuman”.[3] This hypothesis would lay the intellectual groundwork for the British philosopher Max More to begin articulating the principles of transhumanism as a futurist philosophy in 1990, and organizing in California an intelligentsia that has since grown into the worldwide transhumanist movement.[3][4][5]

Influenced by seminal works of science fiction, the transhumanist vision of a transformed future humanity has attracted many supporters and detractors from a wide range of perspectives.[3] Transhumanism has been characterized by one critic, Francis Fukuyama, as among the world’s most dangerous ideas,[6] to which Ronald Bailey countered that it is rather the “movement that epitomizes the most daring, courageous, imaginative,

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