June 13, 2020
Joscha Bach: Artificial Consciousness and the Nature of Reality | AI Podcast #101 with Lex Fridman
“Meditation is just a bunch of techniques that let you control attention. And when you can control attention you can get access to your own source code. And then you can change the way it works.”
“The system needs to pay attention to the features that are currently in its focus. And it also needs to pay attention to whether it pays attention itself. In part because the attentional system gets trained with the same mechanism so it’s reflexive but also in part because your attention lapses if you don’t pay attention to the attention itself. So is this thing that I’m currently seeing just a dream that my brain has spun off into some kind of daydream or am I still paying attention to my percept? So you have to periodically go back and see whether you are still paying attention. And if you have this loop and you make it tight enough between the system becoming aware of the contents of its attention and the fact that it’s paying attention itself and makes attention the object of its attention I think this is the loop over which we wake up.”
– Joscha Bach
Joscha Bach: The Ghost in the Machine: An Artificial Intelligence Perspective on the Soul (2018)
Joscha Bach: Reconciling Consciousness with Physicalism (2019)
Joscha Bach: Machine Dreams (2016)
Joscha Bach on Theories of Consciousness (2020)
Joscha Bach on Minds, Machines & Magic (2020)
Andreas Schleicher, director of education and skills at the Organisation for Economic Co-operation and Development (OECD), visited the Future of Work Laboratory at the Lisbon Council.
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#YouTube #HumanBias #AI
How do we know what is real and what is honest in this world of super information and connectivity? Human bias, computer algorithms and social media influencers are becoming ever more part of our human existence and the ability to critically evaluate and understand how they work and what they mean transcends the purchasing of gold and silver that my channel has traditionally focused on and is in my opinion relevant to nearly every decision we make in our modern lives.
Almost everything we do in the physical modern 2020 pandemic world we now live in is connected to the online universe – I choose the word universe because it is almost too vast to comprehend how big this online space is. We get our news, socialise, learn, interact, work and many more day to day activates online and collectively we are being disconnected from the physical world more and more every day. Most importantly (to the big corporations around the world at least) our money is managed and spent mostly online and the ability to influence or manipulate our purchasing decisions is worth trillions and trillions of dollars.
When you see something on YouTube that claims something radical and outlandish, just ask yourself is that right? What are the qualifications of the person making these claims? What ulterior motives are there at play here, what this machine wants me to think?
These are critical questions and they are critical for a reason. The how’s, what’s, why’s, who’s and where’s are the most important questions to ask yourself and others when looking to make decisions and will help you dissect the truth from the false.
To conclude, this modern world of algorithms and machine learning combined with the unfathomable amounts of information we are constantly bombarded with has and will continue to influence us. It’s unavoidable. How we interact with this information can help save us time, money and collectively make the internet and this global social network we find ourselves in more beneficial for all concerned.
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On this list, we are going to see Rubik’s Cube Robts which broke world records: fastest and the unique new inventions. We will explain how a self-solving Rubik’s cube works and will also talk about the Open AI’s robot hand that can solve the Rubik’s cube and also will talk about the Gan Robot which is made for consumers and is powered by a smartphone.
1. Cubestomer 3 (made from LEGO)
Powered by Samsung Galaxy S4, CubeStormer 3 robot broke the Guinness World Record for solving a Rubik’s cube in 3.253 seconds in 2014. The robot was built by Mike Dobson and David Gilday, creators of CubeStormer 1, Android Speedcuber and CubeStormer 2.
2. Paul Rose and Jay Flatland Rubik’s Cube Robot
This Rubik’s cube solving robot was developed by two software developers Paul Rose and Jay Flatland. On February 5th, 2016, the machine broke the 2.39 seconds world record held by Zackary Gromko’s robot, by solving the cube in 0.9 seconds using. Four USB webcams are used to feed data into software running on a Linux PC that determines the cube-state and this, in turn, is relayed to the Kociemba Rubik’s Cube solving algorithm. The algorithm then determines a set of moves to solve the Rubik’s Cube and the instructions are sent to the stepper motors.
3. Sub1 Reloaded
Built by Infineon’s engineer Albert Beer from Germany, The Sub1 Reloaded smashed the Guinness World Record by becoming the fastest robot to solve a Rubik’s with just 0.637 seconds in November 2016. This breaks the previous record of 0.887 seconds achieved by an earlier version of the same machine using a different processor. While every Rubik’s Cube can be solved with just 20 movements, Albert did not design the computer to use the fewest moves. Instead, he programmed it to achieve the best time, allowing the Sub1 Reloaded to take extra moves to reach its goal.
4. Rubik’s Contraption
Currently, Rubik’s Contraption is the fastest robot to solve Rubik’s cube. Developed by M.I.T’s graduate Ben Katz and Jared DiCarlo, the robot solved the Rubik’s cube in just 0.38 seconds in 2018. The robot is built from custom parts that are easily acquirable. It uses six Kollmorgen’s ServoDisc U9-series motors, which can be obtained relatively cheaply on eBay, as well as optical encoders on the back, also from eBay. To detect the current state of the cube, a pair of Playstation 3 Eye webcams were positioned at opposite corners of the cube, allowing each camera to observe three faces. A special software was developed to identify all the colors, build a description of the cube and pass it to the min2phase solver which implements Kociemba’s two-phase algorithm.
5. Dactyl – Robot Hand
Unlike other Rubik cube solving robots, this is a humanoid robotic hand is not designed specifically for solving Rubik’s cube. It is designed for general purpose, self-learning robots. It is called Dactyl. Developed by Artificial intelligence research organization OpenAI, Dactyl has learned to solve a Rubik’s cube one-handed. It is not as fast as those purpose-built Rubik’s solvers, because the robotics team at OpenAI has very different ambitions. They are trying to build something that is much more general in its scope, similar to how humans and how human hands can do a lot of things, not just a specific task.
6. A Self-Solving Rubik’s Cube
You might think that there are some camera tricks or visual effects in this video, well.. you are not alone. Many people thought so too when the Japanese inventor, Human Controller posted this video on his youtube channel. This is a real Rubik’s Cube that can completely solve itself while floating in mid-air.
How does a self-solving Rubik’s cube work?
With the help of the “first two layers” or the F2L algorithm, the Arduino board at the heart of the cube controls the 3D printed custom cores full of servo motors that spin any of its multi-colored sides. The levitation was made possible by installing powerful magnets in both the cube and the table under it.
7. GAN Robot
The GAN Robot can both scrambles and solves a 3×3 Rubik’s cube using a smartphone app. For now, it can only solve the GAN 356i cube. It can solve the cube in less than 15 seconds after calculating the best solving path in 0.01s. The robot is perfect for teaching people to solve the cube step by step, scrambling cubes uniformly in competitions for fair and accurate results.
Get the GAN Robot from Amazon: https://amzn.to/2QsDtw4
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Data science combined with artificial intelligence is set to create change that this world has never seen. What can computers do and what will they be able to do in order to impact the world. Fred Blackburn tackles some of the country’s most critical issues–terrorist activities, drug interdiction, and even driverless vehicles. He leads the Justice, Homeland Security, and Transportation division of Booz Allen Hamilton, a top consulting firm based in Washington, D.C. Previously, he led both the analytics and predictive intelligence business areas for commercial, civil, defense, and security clients. He is an expert as using data and analytics to solve today’s complex problems. Before joining Booz Allen in 2008, Fred headed up the management consulting division at Northrop Grumman/TASC. As a director, he was responsible for acquisition management, decision analysis, cost and risk analysis, financial management, intelligence analysis, and change management. Recognized for his achievements, Fred was awarded two Director of Central Intelligence Meritorious Unit Citations for his contributions to the Future Imagery Architecture Joint Management Office and his support to the National Geospatial Intelligence Agency. 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
With the increasing rate of development in technology, we must wonder – when it will come to a point where the artificial intelligence we create surpass humans and when will ai take over the world? Inventions like the robot Sophia, or ASIMO are already frighteningly advanced – will robots replace humans one day in the near future?
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From fighting fraud to voice recognition, artificial intelligence is changing the world. Imagine having a suite of software solutions that allow you to conduct an entire AI workflow on one system.
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IN THIS VIDEO YOU WILL SEE THE STARTING OF THE LECTURE SERIES ON ARTIFICIAL INTELLIGENCE . THIS IS THE START OF THE LONG SERIES OF LECTURES IN THE COMING DAYS.
Craig & company explore the consequences of machine intelligence and its implications for the future of humanity. Will machines take over the world? What’s the singularity? When will the singularity happen? Could the plot of the Terminator movies come true?
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and The Robotics Institute at Carnegie Mellon University
A History of Robots – http://bit.ly/1JEh8CG
Innovative Robots That Will Make Our Lives Better – http://bit.ly/1JD2c9p
Are Machines Going to Take Over The World? – http://bit.ly/1KqAN9E
Are We Becoming Robots? – http://bit.ly/1e6mCKU
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Stuart Russell (University of California, Berkeley, USA):
I will briefly survey recent and expected developments in AI and their implications. Some are enormously positive, while others, such as the development of autonomous weapons and the replacement of humans in economic roles, may be negative. Beyond these, one must expect that AI capabilities will eventually exceed those of humans across a range of real-world-decision making scenarios. Should this be a cause for concern, as Elon Musk, Stephen Hawking, and others have suggested? And, if so, what can we do about it? While some in the mainstream AI community dismiss the issue, I will argue that the problem is real and that the technical aspects of it are solvable if we replace current definitions of AI with a version based on provable benefit to humans.
Moderator: Helga Nowotny (Chair of the ERA Council Forum Austria and Former President of the ERC)
In his most recent project, Roman Lipski developed the first digital muse for artists in collaboration with YQP & Birds on Mars, which is based on the dialogue between artist and computer. Roman Lipski is a Polish born painter, who has lived and worked in Berlin since 1989. His celebrated art has been exhibited in numerous museums all over the world – such as in the Nagoya/Boston Museum of Fine Arts in Japan, the National Art Museum of China or the Elgiz Museum of Contemporary Art in Istanbul. In his most recent project “Unfinished”, Roman Lipski developed the first digital muse for artists in collaboration with YQP & Birds on Mars, which is based on the dialogue between artist and computer. 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
Incredible chat with the brilliant TedX speaker, Joe Rogan interviewee and CEO of SIngularityNet Ben Goertzel! Hear his thoughts on Bitcoin, crypto, blockchain, running the Sophia robot project, his awesome hat, his DMT experiences, Storming area 51 and so much more! WIN $100 BCH
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This is for educational purposes and not financial advice. Watch at your own risk and always seek professional financial and legal advice before investing in anything.
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The day of living like the Jetsons, mechanized maid and all, gets closer all the time. Here are 10 great robots, some of which are even available to the public.
The day of living like the Jetsons, mechanized maid and all, gets closer all the time. Here are 10 great robots, some of which are even available to the public.
Number 10. Honda’s Asimo. The humanoid robot stands a bit over 4-feet and weighs in at 119 pounds, but its developers have packed a whole lot of functionality into its modest frame. Asimo can do sign language, play soccer, and even serve drinks.
Number 9. Kuratas. If you’ve ever dreamed of being the pilot of a great big robot, this is your chance. Located within its 13-foot tall frame is enough room for an onboard commander. Oh by the way, it can be controlled with an iPhone.
Number 8. Atlas. Commissioned by the Pentagon, and engineered by Boston Dynamics, this disaster rescue dynamo is built to perform the heroic task of saving lives without risking its own.
Number 7. Termite Robots. These little guys are designed to do tough, tedious building work and their way of working was inspired by termites. The bots assess their environment, take cues from one another, and get to work even though they haven’t a clue of the bigger plan.
Number 6. Cheetah Cub. Wanting to know how to make robots take control of tough terrain with the grace of a feline, scientists at the Swiss Federal Institute of Technology made a robotic cat. Using it, they can assess joint force and agility without having to harm an actual animal.
Number 5. WildCat. Not to be confused with the aforementioned Cheetah Cub, the WildCat is the newest generation of Boston Dynamics Cheetah robot line. These machines are made for speed, traveling up to 29 miles per hour. While previous versions were indoor sorts, this one is suited to run free.
Number 4. VGo Virtual Student. Stuck at home with a severe immune disorder, a student in Texas is now able to attend classes thanks to a robot. She can power the virtual version of herself via internet and participate in what’s going on thanks to a webcam.
“Miranda suffers from a weak immune system that doesn’t allow her to attend class in person but thanks to this robot pilot program she’s back in the classroom.”
Number 3. Robo-Fly. It’s tiny and fast, weighing only 80 milligrams and flapping it’s wings up to 120 times per second. Once technology advances and can make it a battery small enough, the robotic insect is predicted to be a helpful tool in search and rescue missions.
Number 2. The Mab. It flies around your house, senses where it’s dirty, and then deploys a bunch of tiny little cleaning bots to make the area sparkle. It’s just a concept, but was enough of one to win the Electrolux Design Lab competition.
Number 1. Curiosity. NASA’s Mars rover has accomplished far more than any other robot can imagine so to speak. It’s only been on the Red Planet for about a year and a half, but has already determined that there could have once been life there.
If you could design a robot, what would you make it do?
AI Advocate Laurence Moroney sits down with Google Senior Fellow, Jeff Dean following his keynote presentation at TensorFlow World. They discuss how advances in computer vision and language understanding are expanding what’s possible with machine learning, as well as Jeff’s ideas about the future of ML.
Watch Jeff Dean’s keynote address at TF World → https://goo.gle/2pcC8jq
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✎ In today’s video, Mark Cuban talks about the importance of AI in entrepreneurship, and why you need to learn the basics of it.
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• Mark Cuban Documentary – Billionaire Success Lessons – https://youtu.be/a7ZSZNjYADM
✎ His first step into the business world occurred at age 12 when he sold garbage bags. At age 16, Cuban took advantage of a Pittsburgh Post-Gazette strike by running newspapers from Cleveland to Pittsburgh. During college, he had various business ventures, including a bar, disco lessons, and a chain letter. He started his own company, MicroSolutions, with support from his previous customers from Your Business Software. In 1990, Cuban sold MicroSolutions to CompuServe for $6 million. He funded the Broadcast.com, which was later acquired by Yahoo! for $5.7 billion in Yahoo! stock. After the sale of Broadcast.com, Cuban diversified his wealth to avoid exposure to a market crash. He is the owner of the NBA’s Dallas Mavericks. In 2011, Cuban wrote an e-book, How to Win at the Sport of Business, in which he chronicles his experiences in business and sports. He is also one of the main “shark” investors on the ABC reality television series, Shark Tank.
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Agents of S.H.I.E.L.D. actors Adrian Pasdar, B.J. Britt, Brett Dalton, Briana Venskus, Dichen Lachman, Jeff Ward, Mallory Jansen, Max Osinski and Christopher Baker gave a virtual panel through Wizard World Virtual Experiences 2020 to talk about the show, their careers and answer fan questions.
Adrian Pasdar played Glenn Talbot and Graviton in Agents of SHIELD, but is also well known for Heroes, Supergirl, Colony, Burn Notice and voice work in Avengers Assemble, Ultimate Spider-Man and Hulk and the Agents of SMASH.
B.J. Britt portrayed Antoine Triplett in Agents of S.H.I.E.L.D., but has also appeared in Sons of Anarchy, UnREAL, Pitch, Being Mary Jane and A Million Little Things.
Brett Dalton was Grant Ward and Hive in Agents of SHIELD, but is also known for Deception, Elementary, Just My Type and voice work in Milo Murphy’s Law, Robot Chicken and Superman: Man of Tomorrow. He is also well known for his role in the video game Until Dawn.
Briana Venskus is Agent Piper is Agents of S.H.I.E.L.D., but also is known for her roles in The Walking Dead, Sorry for Your Loss, Good Trouble, Supergirl and Nashville.
Dichen Lachman played Jiaying, mother of Daisy, in Agents of SHIELD, but is well known for roles in Altered Carbon, The 100, Being Human, Dollhouse, The Last Ship, Supergirl and Shameless.
Jeff Ward portrays Deke Shaw, future grandson of Leo and Jemma, in Agents of S.H.I.E.L.D., but has also appeared in Channel Zero, The Beauty Inside, Body of Proof and Moonwatch.
Mallory Jansen was Aida / Madame Hydra / Agnes Kitsworth in Agents of SHIELD, but is also known for Shooter, American Housewife, Galavant, Baby Daddy, Young & Hungry and This is Us.
Max Osinski played Agent Davis is Agents of S.H.I.E.L.D., but also has had roles in The Last Ship, Shameless, MacGyver, Hollywood Hitmen and The Nine Lives of Claw.
Christopher Baker was Malachi on Agents of SHIELD, but is also known for Stargirl, Shades of Blue, The Rookie, Ozark and True Detective.
To find out more about Wizard World Virtual Experiences, visit https://wizardworld.com or http://wizardworldvirtual.com
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How Not to Destroy the World with AI – Stuart Russell | AAAI 2020
Stuart Russell (University of California, Berkeley, USA)
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This video is reposted for educational purpose.
Recent and expected developments in AI and their implications. Some are enormously positive, while others, such as the development of autonomous weapons and the replacement of humans in economic roles, may be negative. Beyond these, one must expect that AI capabilities will eventually exceed those of humans across a range of real-world-decision making scenarios. Should this be a cause for concern, as Elon Musk, Stephen Hawking, and others have suggested? And, if so, what can we do about it? While some in the mainstream AI community dismiss the issue, I will argue that the problem is real and that the technical aspects of it are solvable if we replace current definitions of AI with a version based on provable benefit to humans.
Panel discussion on ‘Artificial Intelligence and its Impact on Employment and Workforce’ at World AI Show Mauritius on 28 – 29 Nov 2018 at The Intercontinental, Mauritius.
With over 500+ in attendance #WorldAIShow Mauritius was a huge success.
Sarvapali (Gopal) Ramchurn
Moderated by: Dr Sid Ahmed Benraouane
WHAT IS WORLD AI SHOW?
World AI Show is a global series of initiatives that takes place around the world. The show features an elite gathering of decision makers from enterprises, AI experts, data scientists, technology leaders, startups, investors, researchers, academicians, and global AI technology innovators – to discuss the impact of AI on commercial applications and the revolutionary ways it can transform businesses and government functions.
To find a #WorldAIShow edition taking place near you, visit: https://worldaishow.com/
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The world is filled with things that most of us are able to understand and react to without much thought… a stop sign partially covered by snow is still a stop sign… a chair that’s five times bigger than usual, is still a place to sit. But for computers, the world is often messy and complicated. Google engineers and researchers discuss how machine learning is beginning to make computers, and many of the things we use them for (maps, search, recommending videos, translations), better. http://www.tensorflow.org
Google engineers and researcher (in order of appearance): Blaise Aguera Y Arcas, Greg Corrado, John Giannandrea, Peter Norvig, Jeff Dean, Geoffrey Hinton, Anna Patterson.
More on Machine Learning at Google :
G+ page: https://plus.google.com/+ResearchatGoogle
Machine Learning and Deep Neural Nets Explained: https://www.youtube.com/watch?v=bHvf7Tagt18
Listen to Googles Guru of Machine Learning Jim Gao at Tech Festival 2017. on how artificial intelligence can change the energy world. He argues that AI is about augmenting human intelligence and that it offers the opportunity to solve many hard problems such as climate change https://bit.ly/2N8pUPI
Jim Gao is a Data Center Engineer at Google. He focuses on large data analysis, machine learning, data center design and construction. Before joining Google, he graduated from U.C. Berkeley with B.S. degrees in Mechanical Engineering and Environmental Sciences.
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A new field of collective intelligence has emerged in recent years, supported by a wave of new digital technologies that make it possible for organizations and societies to think at large scale. But why do smart technologies not always automatically lead to smart results?
Chief Executive of Nesta Geoff Mulgan shows how this intelligence has to be carefully organized and orchestrated in order to fully harness and direct its powers.
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Nobel Laureate Michael Levitt, Cynthia Breazeal, Dzulkifli Abdul Razak, and Joel Mokyr explore the topic of artificial intelligence in a discussion moderated by Leila Janah at the Nobel Week Dialogue on December 9, 2015 in Gothenburg, Sweden.
Nobel Week Dialogue is a free of charge, full-day event and part of the official Nobel Week programme. The event aims to stimulate discussion at the highest level on a topical science-related theme by bringing together Nobel Laureates, the world’s leading scientists and experts, key opinion leaders, policy makers and the general public, online as well as on site. By bridging science and society, it’s an opportunity to stimulate thinking, excite imagination and inspire greatness! http://www.nobelweekdialogue.org
The World in 2050 Future Technology
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From things in the air, to new things for our bodies, join me as we explore 2050: What Would Be The Future Technology?
We are in the year 2020, and if we’re being honest with ourselves, technology is incredible advanced, and we’re making strides that can push things even farther. We have cars that are much safer than they’ve been in the past decade, and we’re even making fully electric cars that can help save the planet. There are even plans for self-driving cars and even self-driving Ubers that make the future of transportation very exciting. And that’s just ONE technology that we’re growing at a fast rate. What about all the others that are out there? What will technology be like as we get closer and closer to 2050?
Let’s start with one that well and truly could happen very soon, drones. “
Let’s keep going with transportation, shall we? Right now, one of the biggest ways to get around the countries we live in are trains. Trains ferry people and all sorts of cargo around in an efficient and reliable manner, which is why they’ve been in use for hundreds of years. But…if we’re being honest here, while trains are efficient and reliable in certain ways…they aren’t exactly fast. Especially when it comes to passenger and freight trains. They can take a LONG time to get to their destinations and at times it’s more logical to take other modes of transportation.
Which is why companies are making special kinds of trains that can go MUCH faster. You know of the magnetic trains of Japan no doubt, but others like the V. Hyperloop are trying to push things even farther.
“Passengers or cargo are loaded into the hyperloop vehicle and accelerate gradually via electric propulsion through a low-pressure tube. The vehicle floats above the track using magnetic levitation and glides at airline speeds for long distances due to ultra-low aerodynamic drag.”
Science-fiction? Hardly, in fact, the first vehicle of the Hyperloop has already been tested and proven, and some larger tests are being scheduled for the next few years. And if this works, traveling across the country will be MUCH faster. How much faster? The hyperloop aims to send people shooting across the tubes that they make at a rate of about 600 miles per hour.
Ok, we’ve had some fun ones, but now let’s go deeper down the rabbit hole and talk about the ones we all fear…A.I. Yep, artificial intelligence, and no matter what way you look at it, people are seriously trying to make it happen, and make it happen soon. AI’s are literally everywhere, including in your cars, and in your homes via devices like Alexa (which are indeed forms of AI), and there are things like Watson that is so smart that it could beat two Jeopardy Legends.
Mars seems to be the place where many feel we can go in order to live amongst the stars. And many speculate that by 2030 at the latest (barring setbacks, accidents, and other things obviously) we could not only be colonizing Mars, but having regular shuttles go there so that people can see the red planet for themselves.
“We will see first people going off to mars, and then robots will do some basic stuff like making basic materials [on Mars,]” Pearson said. “We’re going to have to do that because only so much can be brought to space.”
Of course, there are numerous things that need to be worked out before such a thing could happen, but we have “Top Men” on this, including Elon Musk and the Space X program, Jeff Bezos via his Blue Origin company and more.
Alright, now let’s dive into something REALLY sci-fi…prosthetics. Yeah, I know that RIGHT NOW prosthetics are very limited, and at times…a bit pointless. But IF we were able to fully utilize computer technology to its fullest and make prosthetics that are fully compatible with the human brain and body, then the sky is the limit. We could enter an age where cyborgs are not just welcome, they’re commonplace.
Think about it like this, what if the clothes you were wearing right now felt the same, looked the same, but could do more? With the growth of nanotechnology, your clothes could potentially be imbued with various materials or technologies that help you improve your strength, durability, and more.
virtual reality simulations come through as many expect them to, it could lead to all sorts of innovations in the classrooms that could help kids what’s going on.
The World in 2050 Future Technology
HOW WILL BLOCKCHAIN AND AI CHANGE THE WORLD?
TINnights KL 2019 (Talks, Ideas and Networking)
WHY – The world has many important problems. TINnights are for people who believe that technology might provide a way to fix them.
HOW – We can only fix the world’s difficult problems if we collaborate and make new connections with other people.
WHAT – 1. Talks from three fantastic speakers. All trying to fix big important global problems using technology. All talks will be limited to 15 minutes with time for 5 minutes of questions.
The goal of TIN is to spread great ideas and become a platform for the world’s smartest thinkers, visionaries and awe-inspiring teachers so that thousands of people can gain a better understanding of the issues facing the world and a desire to help create a better future.
Edited by Dania Amani
Music: Positive Motivation by AShamaluev Music
today we will talk about how Artificial Intelligence is changing the world.
Nobody can argue that Artificial Intelligence isn’t changing the world, but the way which it’s doing that can have many faces.
AI is providing innovation that can modify how we approach healthcare, the environment, and the day to day act of living. Automation contributes to convenience, and can help with customer service. We will also talk about the change in the workforce.
🔥 PGP in AI and Machine Learning (9 Months Online Program): https://www.edureka.co/post-graduate/machine-learning-and-ai
This Edureka video on “Future of AI” talks about the evolution of AI over the Years. It also lists out the different inventions of AI in recent times and how it is going to change the world in the Future. Following are the Topics Covered in this Artificial Intelligence Video:
1:40 Evolution of AI
4:11 Beginning of AI Revolution
6:57 Recent AI Inventions
9:48 Future of AI
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About the course:
Edureka’s Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on ‘R’ capabilities.
– – – – – – – – – – – – – –
Why Learn Data Science?
Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.
After the completion of the Data Science course, you should be able to:
1. Gain insight into the ‘Roles’ played by a Data Scientist
2. Analyze Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyze data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R
– – – – – – – – – – – – – –
Who should go for this course?
The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:
1. Developers aspiring to be a ‘Data Scientist’
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. ‘R’ professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies
If you are looking for live online training, write back to us at email@example.com or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.
In her captivating talk, Tess Posner, CEO AI4ALL talks about the diversity and inclusion and her team’s efforts to create pathways for underrepresented K-12 students to chart a future in the artificial intelligence field, through education programs and peer, mentor, and professional supports.
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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
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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Artificial You: AI and the Future of Your Mind, Princeton University Press
Author Susan Schneider Interview – BBC World News America, 10/1/19
Humans may not be Earth’s most intelligent beings for much longer: the world champions of chess, Go, and Jeopardy! are now all AIs. Given the rapid pace of progress in AI, many predict that it could advance to human-level intelligence within the next several decades. From there, it could quickly outpace human intelligence. What do these developments mean for the future of the mind?
In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions, but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with “tools” they do not understand how to use: the self, the mind, and consciousness. Schneider argues that an insufficient grasp of the nature of these entities could undermine the use of AI and brain enhancement technology, bringing about the demise or suffering of conscious beings. To flourish, we must grasp the philosophical issues lying beneath the algorithms.
At the heart of her exploration is a sober-minded discussion of what AI can truly achieve: Can robots really be conscious? Can we merge with AI, as tech leaders like Elon Musk and Ray Kurzweil suggest? Is the mind just a program? Examining these thorny issues, Schneider proposes ways we can test for machine consciousness, questions whether consciousness is an unavoidable byproduct of sophisticated intelligence, and considers the overall dangers of creating machine minds.
Susan Schneider is the NASA/Baruch Blumberg Chair at the Library of Congress and the director of the AI, Mind and Society Group at the University of Connecticut. Her work has been featured by the New York Times, Scientific American, Smithsonian, Fox TV, History Channel, and more. Her two-year NASA project explored superintelligent AI. Previously, she was at the Institute for Advanced Study in Princeton devising tests for AI consciousness. Her books include The Language of Thought, The Blackwell Companion to Consciousness, and Science Fiction and Philosophy.
Toby Walsh – Professor of Artificial Intelligence at the University of New South Wales – Australia
How can we ensure that education is ready to prepare learners for the future? And how can we create new learning environments which enhance the benefit of education? Learn about the latest theories, new digital solutions, policies, strategies, research and insights, as our expert speakers shared their enthusiasm for tomorrow’s new world of learning.
The future of work in a world of AI and robots
Toby Walsh is Scientia Professor of Artificial Intelligence at the Department of Computer Science and Engineering at the University of New South Wales, research group leader at Data61, guest Professor at Technical University of Berlin, external Professor of the Department of Information Science at Uppsala University and an honorary fellow of the School of Informatics at Edinburgh University.
He was Editor-in-Chief of the Journal of Artificial Intelligence Research, and of AI Communications. He is on the editorial board of the Journal of the ACM, Journal of Automated Reasoning and the Constraints journal. He has been elected a fellow of both the Australian Academy of Science, Association for the Advancement of Artificial Intelligence and the European Coordinating Committee for AI in recognition of his research in artificial intelligence and service to the community.
He has won the NSW Premier’s Prize for Excellence in Engineering and ICT, the Humbolt Award, and the Research Excellence Award of the Association for Constraint Programming. He has been Secretary of the Association for Constraint Programming (ACP) and is Editor of CP News, the newsletter of the ACP. He is one of the Editors of the Handbook for Constraint Programming, and the Handbook for Satisfiability.
Ci2019 featured over 40 global leaders including Chief Technology Officer of Google Ray Kurzweil (USA), CEO of NESTA Geoff Mulgan CBE (UK), Chief Data and Transformation Officer at DBS Bank Paul Cobban (Singapore), A.I. Experts Professor Toby Walsh and Liesl Yearsley (USA), Co-founder of Oxford Insights Emma Martinho-Truswell (UK), Ethics leader Professor Simon Longstaff, Ethics and Culture of Robots and AI Professor Kathleen Richardson (UK), brain performance neuroscientist Dr Etienne Van Der Walt (South Africa), transdisciplinary Behavioural Scientist Dr Richard Claydon (Hong Kong), Director of the Learning Technology Research Centre Carl Smith (UK), Australia’s Chief Scientist Dr Alan Finkel AO, Deakin University Vice Chancellor Professor Jane Den Hollander, ATO’s Jane King, Innovation & Science Australia CEO Dr Charles Day, CEDA CEO Melinda Cilento, Jobs for NSW CEO Nicole Cook, Behaviour Innovation founder & CEO John Pickering, People and Performance expert Andrew Horsfield, TEDx Melbourne’s Jon Yeo and many more to be announced.
The theme for Creative Innovation 2019 Asia Pacific was “Human Intelligence 2.0 – A Collective Future? How will we manage the transition?” . The event showcased world changing innovators, disruptors, futurists, scientist, inspired thinkers and curious souls gathered together in an interactive community. Creative Innovation Global is the premiere conference for anyone who cares about creativity, innovation, leadership and transformation. Creative Innovation Global delivers world class creative and exponential thinking, innovation leadership and pragmatic solutions. The event offers credible forecasts, strategies and practices to help transform you and prepare the leadership of organisations for disruption in all its forms. A place to imagine the future, inspire your leadership and achieve business success.
Creative Innovation Global has received two global awards and numerous Australian Awards winning the title of best corporate event in the world. Creative Universe and Creative Innovation Global have just been ranked among the top 20 event organizers and agencies from around the world as part of the newly released Eventex All-Stars Index: https://eventex.co/all-stars/ We work on engaging hearts and minds and building leadership and innovation capability with teams through custom designing Creative Innovation half and full day workshops for organisations on a regular basis. To see more about our inspirational leadership programs and other events and offerings, please visit http://creativeinnovationglobal.com.au
To watch over 300 talks and videos from past Creative Innovation Global events visit: http://creativeinnovation.tv
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