Keynote by Suchi Saria

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Dr Ben Goertzel is the Founder and CEO of SingularityNET and Chief Science Advisor for Hanson Robotics.

He is one of the world’s leading experts in Artificial General Intelligence (AGI), with decades of expertise in applying AI to practical problems like natural language processing, data mining, video gaming, robotics, national security and bioinformatics.

He was part of the Hanson team which developed the AI software for the humanoid Sophia robot, which can communicate with humans and display more than 50 facial expressions.Today he also serve as Chairman of the AGI Society, the Decentralized AI Alliance and the futurist nonprofit organisation Humanity+.

Watch the FULL EPISODE here: https://londonreal.tv/e/dr-ben-goertzel/

DR BEN GOERTZEL

Website: http://goertzel.org/

Twitter: https://twitter.com/bengoertzel

About London Real:

Founded by Brian Rose in 2011. London Real is the curator of people worth watching. Our mission is to promote personal transformation through inspiration, self-discovery and empowerment.
We feature interesting guests with fascinating stories and unique perspectives on life. We aim to take viewers on a journey through the lives of others and ultimately inspire them to embark on one of their own.

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We have no guarantee that a superintelligent A.I. is going to do what we want. Once we create something many times more intelligent than we are, it may be “insane” to think we can control what it does. What’s the best bet to ensure superintelligent A.I. remains compliant with humans and does good works, such as advance medicine? To raise it in a way that’s imbued with compassion and understanding, says Goertzel. One way to limit “people doing bad things out of frustration,” it may be advantageous for the entire world to be plugged into the A.I. economy so that developers, from whatever country, can monetize their codes.

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BEN GOERTZEL

Ben Goertzel is CEO and chief scientist at SingularityNET, a project dedicated to creating benevolent decentralized artificial general intelligence. He is also chief scientist of financial prediction firm Aidyia Holdings and robotics firm Hanson Robotics; Chairman of AI software company Novamente LLC; Chairman of the Artificial General Intelligence Society and the OpenCog Foundation.His latest book is AGI Revolution: An Inside View of the Rise of Artificial General Intelligence.

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TRANSCRIPT:

BEN GOERTZEL: We can have no guarantee that a super intelligent AI is going to do what we want. Once we’re creating something ten, a hundred, a thousand, a million times more intelligent than we are it would be insane to think that we could really like rigorously control what it does. It may discover aspects of the universe that we don’t even imagine at this point.

However, my best intuition and educated guess is that much like raising a human child, if we raise the young AGI in a way that’s imbued with compassion, love and understanding and if we raise the young AGI to fully understand human values and human culture then we’re maximizing the odds that as this AGI gets beyond our rigorous control at least it’s own self-modification and evolution is imbued with human values and culture and with compassion and connection. So I would rather have an AGI that understood human values and culture become super intelligent than one that doesn’t understand even what we’re about. And I would rather have an AGI that was doing good works like advancing science and medicine and doing elder care and education becomes super intelligent than an AGI that was being, for example, a spy system, a killer drone coordination system or an advertising agency. So even when you don’t have a full guarantee I think we can do things that commonsensically will bias the odds in a positive way.

Now, in terms of nearer-term risks regarding AI, I think we now have a somewhat unpleasant situation where much of the world’s data, including personal data about all of us and our bodies and our minds and our relationships and our tastes, much of the world’s data and much of the world’s AI fire power are held by a few large corporations, which are acting in close concert with a few large governments. In China the connection between big tech and the government apparatus is very clear, but in the U.S. as well. I mean there was a big noise about Amazon’s new office, well 25,000 Amazon employees are going in Crystal City Virginia right next-door to the Pentagon; there could be a nice big data pipe there if they want. We in the U.S. as well have very close connections between big tech and government. Anyone can Google Eric Schmidt verses NSA as well. So there’s a few big companies with close government connections hoarding everyone’s data, developing AI processing power, hiring most of the AI PhDs and it’s not hard to see that this can bring up some ethical issues in the near-term, even before we get to superhuman super intelligences potentially turning the universe into paper clips. And decentralization of AI can serve to counteract these nearer-term risks in a pretty palpable way.

So as a very concrete example, one of our largest AI development offices for SingularityNET, and for Hanson Robotics the robotics company I’m also involved with, is in Addis Ababa Ethiopia. We have 25 AI developers and 40 or 50 interns there. I mean these young Ethiopians aren’t going to get a job for Google, Facebook, Tencent or Baidu except in very rare cases when they managed to get a work visa to go to one of these countries somehow. And many of the AI applications of acute interest in those countries, say AI for analyzing agriculture and preventing agricultural disease o…

For the full transcript, check out https://bigthink.com/videos/ai-superintelligence

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Dr Ben Goertzel is the Founder and CEO of SingularityNET and Chief Science Advisor for Hanson Robotics.

He is one of the world’s leading experts in Artificial General Intelligence (AGI), with decades of expertise in applying AI to practical problems like natural language processing, data mining, video gaming, robotics, national security and bioinformatics.

He was part of the Hanson team which developed the AI software for the humanoid Sophia robot, which can communicate with humans and display more than 50 facial expressions.Today he also serve as Chairman of the AGI Society, the Decentralized AI Alliance and the futurist nonprofit organisation Humanity+.

Watch the FULL EPISODE here: https://londonreal.tv/e/dr-ben-goertzel/

DR BEN GOERTZEL

Website: http://goertzel.org/

Twitter: https://twitter.com/bengoertzel

About London Real:

Founded by Brian Rose in 2011. London Real is the curator of people worth watching. Our mission is to promote personal transformation through inspiration, self-discovery and empowerment.
We feature interesting guests with fascinating stories and unique perspectives on life. We aim to take viewers on a journey through the lives of others and ultimately inspire them to embark on one of their own.

Don’t miss our weekly episodes, hit subscribe: http://bit.ly/SubscribeToLondonReal

Website: http://www.londonreal.tv

Facebook:https://www.facebook.com/LondonReal/
#TransformYourself

New technologies from artificial intelligence and virtual reality to massive open online courses are beginning to disrupt existing models of learning. These technologies could help to meet rising demands for education around emerging Asia. From the rise of new global educational providers to the development of “micro” degrees and new VR tools for online learning, these technologies will also have profound implications for the way in which Higher Education policies are developed across Asia – both in developed economies like Singapore seeking to re-equip their workforce for a new era of globalisation and emerging nations attempting rapidly to increase the scale and quality of their education systems.

Find out key highlights shared by the speakers on their views of the death of traditional classrooms.

The panelist consists of:
## Mr Johannes Heinlein, Vice President, EdX

## Mr Adrian Lim, Director (Digital Participation & Foresight, Digital Readiness Cluster), Info-communications Media Development Authority (IMDA)

## Dr Suzaina Kadir, Associate Dean (Admissions, Partnerships and Programmes), Deputy Director (Academic Affairs) and Senior Lecturer, Lee Kuan Yew School of Public Policy

and is moderated by:
## Mr James Crabtree, Senior Visiting Fellow, the Centre on Asia and Globalisation, Lee Kuan Yew School of Public Policy

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Professor Rose Luckin
UCL Knowledge Lab, UCL Institute of Education

Tuesday 16th May 2017

What makes a good teacher and a successful lesson? Artificial Intelligence (AI) in the classroom is the key that is unlocking the answer, according to Rose Luckin, Professor of Learning with Digital Technologies.

Intelligent software holds opportunities for individualised teaching that understands when and how lessons veer off topic, at what point pupils lose interest and when they are at their most engaged and receptive – providing smart interventions that help teachers find the best learning strategies for their classes.

In this UCL Lunch Hour Lecture, Professor Luckin will discuss what AI is telling us about how we learn and predict how machines and humans will interact in the classrooms of the future.

Bring your lunch and your curiosity! UCL Lunch Hour Lectures, Tuesdays and Thursdays, Darwin Lecture Theatre, 1.15 – 1.55pm (term time)

Free to attend, live stream or watch online
More info: http://events.ucl.ac.uk/lhl
Join the conversation on Twitter at #UCLLHL

This presentation was given in December 2017 in Boston – at the Royal Sonesta Hotel during Day 1 of the AI Applications Summit. The presentation is based on findings from our machine learning in healthcare research study:
https://www.techemergence.com/machine-learning-in-healthcare-executive-consensus/

Filmed and edited by Ryan Stryker Media. Visit Ryan’s channel:
https://www.youtube.com/channel/UCe8PUtYfL2c9EUvLWY-Ka4g

Η Τεχνητή Νοημοσύνη γίνεται όλο και εξυπνότερη. Κάποια στιγμή θα μας φτάσει και θα μας ξεπεράσει.
“Η Τ.Ν. θα είναι η τελευταία εφεύρεση του ανθρώπου…”
Ομιλία του φιλοσόφου και τεχνολόγου Nick Bostrom
Μεταγλώτιση του βίντεο:
(12) What happens when our computers get smarter than we are? | Nick Bostrom – YouTube
https://www.youtube.com/watch?v=MnT1xgZgkpk

Life 3.0 – by Max Tegmark

‘Being human in the age of Artificial Intelligence’

Life has gradually grown more complex and interesting into 3 different tiers since the start of the Universe.

Life 1.0: Simple and biological. Can’t design it’s own software, and can’t design it’s own hardware – both are determined by DNA and change via evolution

Life 2.0: Cultural. Can survive and replicate. Can design its software like new skills – language, sports and professions. This flexibility has enabled humans to dominate the planet. While we can design our software, we can’t design our hardware

Life 3.0: The birth of a technological species. It can design both its software and its own hardware – causing an intelligence explosion and real possibilities of Artificial General Intelligence.

This book explores the range of scenarios that might be spawned from our AI future.

Grab a copy of the book here: https://www.bookdepository.com/Life-3-0-Max-Tegmark/9780141981802/?a_aid=adamsbooks

Max Tegmark Life 3.0 Being Human in the Age of Artificial Intelligence Part 02

Andy Chan is a Product Manager at Infinia ML, an artificial intelligence company that builds custom algorithms and software for Fortune 500 companies. He currently leads the design, development, and execution of the company’s AI strategies. Prior to Infinia ML, Andy was a Senior Product Manager at Avalara and helped the company go public in June 2018.

Andy graduated from St. Lawrence with Honors in Economics. After graduation, he moved to North Carolina and completed a M.S. in Analytics at Johns Hopkins University. He is currently located in Chapel Hill, NC and is pursuing his MBA at Duke University. Outside of work and school, he enjoys coaching youth soccer for NCFC and spending time with his two German Shepherds. Andy Chan is a Product Manager at Infinia ML, an artificial intelligence company that builds custom algorithms and software for Fortune 500 companies. He currently leads the design, development, and execution of the company’s AI strategies. Prior to Infinia ML, Andy was a Senior Product Manager at Avalara and helped the company go public in June 2018.

Andy graduated from St. Lawrence with Honors in Economics. After graduation, he moved to North Carolina and completed a M.S. in Analytics at Johns Hopkins University. He is currently located in Chapel Hill, NC and is pursuing his MBA at Duke University. Outside of work and school, he enjoys coaching youth soccer for NCFC and spending time with his two German Shepherds. 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

♚ Play turn style chess at http://bit.ly/chessworld
1 minute per move, 100 game match, match score: 28 wins, 72 draws, AI Landmark game, Stockfish crushed, Bishop pair worth more than knight and 4 pawns

Research paper: “Mastering Chess and Shogi by Self-Play with a
General Reinforcement Learning Algorithm” :

David Silver,1∗ Thomas Hubert,1∗
Julian Schrittwieser,1∗
Ioannis Antonoglou,1 Matthew Lai,1 Arthur Guez,1 Marc Lanctot,1
Laurent Sifre,1 Dharshan Kumaran,1 Thore Graepel,1
Timothy Lillicrap,1 Karen Simonyan,1 Demis Hassabis1

https://arxiv.org/pdf/1712.01815.pdf

The game of chess is the most widely-studied domain in the history of artificial intelligence.
The strongest programs are based on a combination of sophisticated search techniques,
domain-specific adaptations, and handcrafted evaluation functions that have been
refined by human experts over several decades. In contrast, the AlphaGo Zero program
recently achieved superhuman performance in the game of Go, by tabula rasa reinforcement
learning from games of self-play. In this paper, we generalise this approach into
a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in
many challenging domains. Starting from random play, and given no domain knowledge
except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in
the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a
world-champion program in each case ….

Read more at: https://arxiv.org/pdf/1712.01815.pdf

What is reinforcement learning?
https://en.wikipedia.org/wiki/Reinforcement_learning

“Reinforcement learning (RL) is an area of machine learning inspired by behaviourist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward. The problem, due to its generality, is studied in many other disciplines, such as game theory, control theory, operations research, information theory, simulation-based optimization, multi-agent systems, swarm intelligence, statistics and genetic algorithms. In the operations research and control literature, the field where reinforcement learning methods are studied is called approximate dynamic programming. The problem has been studied in the theory of optimal control, though most studies are concerned with the existence of optimal solutions and their characterization, and not with the learning or approximation aspects. In economics and game theory, reinforcement learning may be used to explain how equilibrium may arise under bounded rationality.

In machine learning, the environment is typically formulated as a Markov decision process (MDP), as many reinforcement learning algorithms for this context utilize dynamic programming techniques.[1] The main difference between the classical techniques and reinforcement learning algorithms is that the latter do not need knowledge about the MDP and they target large MDPs where exact methods become infeasible.

Reinforcement learning differs from standard supervised learning in that correct input/output pairs are never presented, nor sub-optimal actions explicitly corrected. Instead the focus is on on-line performance, which involves finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).[2] The exploration vs. exploitation trade-off in reinforcement learning has been most thoroughly studied through the multi-armed bandit problem and in finite MDPs.”

What is this company called Deepmind ?
https://en.wikipedia.org/wiki/DeepMind

DeepMind Technologies Limited is a British artificial intelligence company founded in September 2010.

Acquired by Google in 2014, the company has created a neural network that learns how to play video games in a fashion similar to that of humans,[4] as well as a Neural Turing machine,[5] or a neural network that may be able to access an external memory like a conventional Turing machine, resulting in a computer that mimics the short-term memory of the human brain.[6][7]

The company made headlines in 2016 in nature after its AlphaGo program beat a human professional Go player for the first time in October 2015.[8] and again when AlphaGo beat Lee Sedol the world champion in a five-game tournament, which was the subject of a documentary film.

►Kingscrusher chess resources: http://www.chessworld.net/chessclubs/learn_coaching_chessable.asp
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►Kingscrusher resources: http://www.chessworld.net/chessclubs/learn_coaching_chessable.asp
►Playlists: http://goo.gl/FxpqEH
►Play and follow broadcasts at Chess24: https://chess24.com/premium?ref=kingscrusher
#KCChess
♞ Challenge KC and others for turn style chess at http://bit.ly/33uVY8O

This artificial intelligence may look goofy but they’re smarter than you think. OpenAI’s bots can teach themselves how to sumo wrestle and play soccer.

They learn using a “self-play” training process. The robots learn new skills in small increments by competing against copies of themselves. The winners go on to play other bots.

They can acquire physical skills like tackling, ducking, faking, kicking, catching and diving.

By achieving goals, they get smarter.

OpenAI has some big-time backers including Elon Musk, Sam Altman, and Peter Thiel.

Read more: http://www.businessinsider.com/sai

FACEBOOK: https://www.facebook.com/techinsider
TWITTER: https://twitter.com/techinsider
INSTAGRAM: https://www.instagram.com/tech_insider/

hey guys this is deepak here from keep it real channel in this video i am going to show you live demo how to lock/unlock your aadhar biometric if you like this video share,like and subscribe to my channel for more such videos
background Music: http://www.bensound.com

HP SimplePass allows you to log on to secure websites and applications by scanning your fingerprint
instead of typing your user name and password.

how to configure biomax biometric attandance system with local aria connection (lan) ,, how to connect essl biometric to desktop computer.

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If you want to add biometric security features to your Arduino projects, an easy way to do so, is to add a fingerprint sensor module to it. In this video we demonstrate how easy to use a fingerprint sensor with an Arduino Nano and a small display.

I always wanted to try a fingerprint sensor module in order to learn more about its technology and use it in some of my projects in order to add biometric security to them. While searching for a nice and low cost sensor, I discovered this sensor module on Gearbest.com. The sensor costs around 30$ and you can find a link for it in the description of the video. Gearbest.com was kind enough to send a sample unit in order to test it and share my opinion about it with you.

——————–
WHERE TO BUY
——————–

Fingerprint Sensor: http://educ8s.tv/part/FingerprintSensor

Arduino Nano: http://educ8s.tv/part/ArduinoNano

1.44 Color TFT: http://educ8s.tv/part/LCD144

Small Breadboard: http://educ8s.tv/part/SmallBreadboard

Jumper Wires: http://educ8s.tv/part/JumperWires

Power bank Xiaomi: http://educ8s.tv/part/Powerbank

Full disclosure: All of the links above are affiliate links. I get a small percentage of each sale they generate. Thank you for your support!

The fingerprint sensor module is small, and nicely built and it uses some advanced DSP (Digital Signal Processing) chips inside. The sensor works like this. It is an optical sensor, which means it analyzes the photo of a finger. It then renders the image, makes some calculations, finds the features of that finger and then searches in its memory for a fingerprint with the same characteristics. It can achieve all that in less than a second! This module can store up to 1000 fingerprints in its memory and its false acceptance rate is less than 0.001% which makes it pretty secure! Great! We get all that in a very easy to use module and with very low cost! It is a really impressive technology!

In order to demonstrate a simple use of the sensor a built this simple project. I have hooked up the sensor to an Arduino Nano, and I also use the small but very fast 1.44 inch color TFT display. The project asks for a valid fingerprint in order to unlock. When I place my finger on the sensor, it recognizes my finger, turns the fingerprint icon green and it welcomes me. If my girlfriend places her finger on the sensor, it also recognizes her, and displays a welcome message with her name. If I place another finger on the sensor, the project does not unlock the screen. It works fine and you are going to see, you can build this project in less than 10 minutes! Let’s see how to achieve that!

——————–
LIBRARIES
——————–

https://github.com/adafruit/Adafruit-Fingerprint-Sensor-Library

https://github.com/adafruit/Adafruit-GFX-Library

https://github.com/sumotoy/TFT_ILI9163C

——————–
CODE OF THE PROJECT
——————–

Fingerprint Sensor with Arduino

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Quiz of Knowledge Android Game
——————–

You can download my latest Android Game which is called Quiz of Knowledge here:

📥 http://bit.ly/QuizOfKnowledge

——————–
MORE PROJECTS
——————–
Arduino Datalogger: https://www.youtube.com/watch?v=oei3Y6tOhVI
Arduino Weather Station Project: https://www.youtube.com/watch?v=9jN-3DtS1RI
Arduino Nokia 5110 LCD Display: https://www.youtube.com/watch?v=aDwrMeu4k9Y
Arduino OLED display tutorial: https://www.youtube.com/watch?v=A9EwJ7M7OsI
DIY Arduino: https://www.youtube.com/watch?v=npc3uzEVvc0

——————–
ABOUT EDUC8S.TV
——————–
Educ8s.tv is a Youtube channel and website which is dedicated in developing high quality videos about DIY hardware and software projects. In this channel we develop projects with Arduino, Raspberry Pi, we build robots and simple electronic circuits. Check out our website as well for more information: http://www.educ8s.tv

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SUBSCRIBE ON YOUTUBE
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Never miss a video: https://www.youtube.com/subscription_center?add_user=educ8s

Before machine learning: What did we do with all that data?

Today by using satellite imagery and machine learning platforms, data is searchable and accessible. Customers are using machine learning to detect hidden populations, distribute life-saving vaccines and development resources, detect structures that aid first responders and enable autonomous vehicles and robots in space.

Machine learning and artificial intelligence help customers save time, money and lives through algorithms designed to become more accurate over time. Through Maxar’s platforms like GBDX and Tomnod, customers can design their own algorithms to create new solutions to problems they were previously unable to solve.

TensorFlow is a truly open source platform with over 1,900 contributors. On this episode of TensorFlow Meets, Laurence (@lmoroney) talks to Open Source Strategist Edd Wilder-James (@edd) about how things like TensorFlow’s Request for Comments process, Special Interest Groups, and the modularity of its codebase make it easier for the community to build TensorFlow together. They also discuss the upcoming O’Reilly TensorFlow World, which is accepting applications to participate now through April 23rd.

TensorFlow community → https://bit.ly/2D14XTB

Watch Edd’s talk at TF Dev Summit ‘19 → https://bit.ly/2uTx4zr

O’Reilly TensorFlow World 2019 → https://oreil.ly/2OP4Uii

Subscribe to the TensorFlow channel → http://bit.ly/TensorFlow1
Watch more episodes of TensorFlow Meets → http://bit.ly/2lbyLDK

MAXFunds.com co-founder Jonas Max Ferris, FOX Business’ Jackie DeAngelis, Fortune executive editor Adam Lashinsky and Kadina Group President Gary B. Smith discuss how Hillary Clinton will serve as a keynote speaker at a cyber defense summit.

FOX Business Network (FBN) is a financial news channel delivering real-time information across all platforms that impact both Main Street and Wall Street. Headquartered in New York — the business capital of the world — FBN launched in October 2007 and is the leading business network on television, topping CNBC in Business Day viewers for the second consecutive year. The network is available in more than 80 million homes in all markets across the United States. Owned by FOX, FBN has bureaus in Chicago, Los Angeles, Washington, D.C. and London.

Subscribe to Fox Business! https://bit.ly/2D9Cdse
Watch more Fox Business Video: https://video.foxbusiness.com
Watch Fox Business Network Live: http://www.foxnewsgo.com/

Watch full episodes of FBN Primetime shows
Lou Dobbs Tonight: https://video.foxbusiness.com/playlist/longform-lou-dobbs-tonight
Trish Regan Primetime: https://video.foxbusiness.com/playlist/longform-trish-regan-primetime
Kennedy: https://video.foxbusiness.com/playlist/longform-kennedy

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#Cybersecurity #Hacking #degree

What’s up #SecurityNinjas!

If you’re considering a degree in Cyber Security, please do the research on the program you’re considering.
Often times schools will advertise their awesome Cyber Security Major, and then it turns out to be a waste of time.

Links to well recognized Cyber programs:

Cyber Operations:

https://www.nsa.gov/resources/students-educators/centers-academic-excellence/

Cyber Defense – by state:
https://www.iad.gov/NIETP/reports/cae_designated_institutions.cfm

Music in this video:
Free Download / Stream: http://ncs.io/ark
Watch: https://youtu.be/8xlDwukxjnA
Song —- Ark
Artist — Ship Wrek & Zookeepers

Lecture Title: Deep Learning to Solve Challenging Problems

For the past eight years, Google Research teams have conducted research on difficult problems in artificial intelligence, on building large-scale computer systems for machine learning research, and, in collaboration with many teams at Google, on applying their research and systems to many Google products. As part of their work in this space, they have built and open-sourced the TensorFlow system (tensorflow.org), a widely popular system designed to easily express machine learning ideas, and to quickly train, evaluate and deploy machine learning systems. They have also collaborated closely with Google’s platforms team to design and deploy new computational hardware called Tensor Processing Units, specialized for accelerating machine learning computations. In this talk, Jeff highlights some of their recent research accomplishments, and will relate them to the National Academy of Engineering’s Grand Engineering Challenges for the 21st Century, including the use of machine learning for healthcare, robotics, language understanding and engineering the tools of scientific discovery. He also covers how machine learning is transforming many aspects of our computing hardware and software systems. This talk describes joint work with many people at Google.

More information may be viewed at https://www.cs.washington.edu/events/colloquia/details?id=3087.

Originally recorded on October 10, 2019. This video is closed captioned.

Artificial Intelligence Robots Development Until 2019 – Machine Learning Robot Ep. 06
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1. Ibuki

2. Carl

3. Pepper

4. Romeo

5. Sophia

6. Meltant

#Artificialintelligence #Humanoidrobot #MachineLearning

Developments in artificial intelligence (AI) are leading to fundamental changes in the way we live. Algorithms can already detect Parkinson’s disease and cancer, and control both cars and aircraft. How will AI change our society in the future?

This documentary journeys to the hot spots of AI research in Europe, the USA and China, and looks at the revolutionary developments which are currently taking place. The rapid growth of AI offers many opportunities, but also many dangers. AI can be used to create sound and video recordings which will make it more and more difficult to distinguish between fact and fiction. It will make the world of work more efficient and many professions superfluous. Algorithms can decide whether to grant loans, who is an insurance risk, and how good employees are. But there is a huge problem: humans can no longer comprehend how algorithms arrive at their decisions. And another big problem is AI’s capacity for widespread surveillance. The Chinese city of Rongcheng is already using an AI-supported ‘social credit system’ to monitor and assess its citizens. Does AI pose a danger to our personal freedoms or democracy? Which decisions can we leave to the algorithms – and which do we want to? And what are AI’s social implications?

A documentary by Tilman Wolff und Ranga Yogeshwar

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DW Documentary gives you knowledge beyond the headlines. Watch high-class documentaries from German broadcasters and international production companies. Meet intriguing people, travel to distant lands, get a look behind the complexities of daily life and build a deeper understanding of current affairs and global events. Subscribe and explore the world around you with DW Documentary.

Subscribe to DW Documentary:
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Our other YouTube channels:
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In the last week of December, 2028, humanity forgot about more than a century of pop culture. You’ve probably never thought about it, and never found it strange — but the reason is an artificial intelligence called Earworm.

⏩ is a series of YouTube videos from a future.

WHY WE FORGOT THE 20TH CENTURY

WRITTEN and NARRATED BY: Tom Scott
ANIMATED BY: Jordan Husmann http://jordanhusmann.com

I’m at http://tomscott.com
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Dr Ben Goertzel is the Founder and CEO of SingularityNET and Chief Science Advisor for Hanson Robotics.

He is one of the world’s leading experts in Artificial General Intelligence (AGI), with decades of expertise in applying AI to practical problems like natural language processing, data mining, video gaming, robotics, national security and bioinformatics.

He was part of the Hanson team which developed the AI software for the humanoid Sophia robot, which can communicate with humans and display more than 50 facial expressions.Today he also serve as Chairman of the AGI Society, the Decentralized AI Alliance and the futurist nonprofit organisation Humanity+.

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DR BEN GOERTZEL

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The introduction of AI or Artificial Intelligence is a step that is creating waves in technology. One particular area that is going to be tremendously influenced by the introduction of Al is the field of education. It is time that educational institutions take advantage of technological advancements and modify their environments accordingly. With the current speed that everything has been updating and adapting, it won’t be long before we see Al playing a huge role in teaching. Here’s how AI is going to shape education in the near future.

Read Here: https://hitberry.com/should-students-expect-undertake-ai-designed-classes-2019

(0:50) Classes Beyond the Classroom
(1:30) Personalized Learning
(2:08) Smart Campuses
(2:49) Feedback and Monitoring
(3:29) Information Portal
(4:51) Final Thoughts

Please Watch:
9 Reasons Why Tesla Model 3 Should Be Your Next Car | https://youtu.be/p1CpYKKQ2kE

10 Best Supercars Coming in 2019 | Porsche, BMW, Mercedes and more… | https://youtu.be/Ir0IJiaiadQ

5 Skills That Your Child Needs For The Jobs Of The Future | https://youtu.be/ost7ESfcLZ0

Looking for Holiday Gifts? Here are Top 10 Bestseller Books of 2018 | https://youtu.be/cjrJ4z4w59A

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Transhumanism, Artificial Intelligence, Microchipping, and the Future of Education. The world is changing and the education system is going to go through some serious changes in the coming years (not decades, years!).

The goal is to connect us to the cloud, is this a good thing? We will know everything, the argument goes, but is that a good thing?

There are inherent dangers that people like Elon Musk is talking about and others. Where does this all go? Well, we pretty much know because they are telling us!

Here’s the links to articles and videos I discuss in this video:

The End of School
https://www.dailystar.co.uk/news/latest-news/765961/tech-news-ai-robot-brain-implants-google-education-IQ-learning

Google inside your head
https://www.dailystar.co.uk/news/latest-news/762862/tech-news-ai-robot-brain-implants-google-inside-head

Elon Musk Video
https://www.youtube.com/watch?v=MuWWZ91-G6w

Please stay up on this stuff people, especially if you’re in the education industries and systems.

Good luck to you!

Mike Palumbo

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Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.

Longtime Humanist Community member, and Board member, Marc Perkel will discuss his following beliefs and questions: If humanity ever invents Artificial Intelligence that is smarter than we are, it will be the last thing we’ll ever invent. That’s because the AI will do the inventing far faster than we ever could. This raises a lot of philosophical questions. When will AI be smarter than us? Sooner than you think!

What will it be like to not be the smartest species on the planet? Will the robots kill us off? What values will we teach AI to get it started? Why should humanity continue to exist once we create a superior species. Will we be able to pull the plug on it – or will it be able to pull the plug on us? Is Humanism limited to just humans? Do we need Religion for Robots? Shouldn’t we answer these questions BEFORE we create the AI?

We got to experience HireVue’s AI technology that allows companies to sort and grade video job applicants.

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This week, Microsoft announced several technology updates aimed at helping customers adopt artificial intelligence tools that can yield big benefits for businesses and organizations.

The announcements come as most companies say they want to use AI, even though some are struggling to figure out how to do so. Industry analysts have predicted an explosion of AI adoption over the next few years, but they say many companies still face internal barriers to AI adoption.

For AI to deliver its vast potential, Microsoft executives said industry leaders must not only make AI-infused technology faster, more intuitive and more useful, but also build public trust that AI technology will be used responsibly.

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Interview with Sneha Reddy | Google Hire for Prestigious Project Artificial Intelligence

Dr. Andrei Borshchev, CEO at The AnyLogic Company, presents at the GE EDGE & Controls Symposium 2019. Topics with video time links below:

– 4:46 What is simulation modeling? What is AnyLogic?
– 8:02 Digital Twins. 10:37 Case study: Gas Turbine Fleet
– 14:08 Why AI and Simulation? Some AI terminology. How can simulation help AI?
– 21:21 Example of Deep Reinforcement Learning using simulation: Traffic Light Control (detailed)
– 29:53 Case study: AI trained by simulation model in Ferromagnetic Core Production
– 32:26 Conclusion. What are the challenges?

AI white paper – https://www.anylogic.com/resources/white-papers/artificial-intelligence-and-simulation-in-business/
Find out more about simulation modeling – https://www.anylogic.com/

#AnyLogic #Simulation #AI #DynamicSimulation #DigitalTwin