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This video covers artificial intelligence, research being done in the field, what major to pick to get started, and a more detailed description on how machine learning works.
Artificial intelligence is an increasingly fast growing field with more and more innovations coming up all the time. You can see artificial intelligence being used in finance, gaming, healthcare, self driving cars, email spam filtering, and much more.
One of the big fields of artificial intelligence is machine learning. Machine learning is making software that is able to learn from past experiences. One example of this is AlphaGo which is an A.I. project made by deepmind that was able to beat the best go player in the world, in a game of go. AlphaGo wasn’t programmed with strategies though, it was just programmed to learn.
Deep learning is often done through the use of neural networks which I talk about in this video using a simple example.
Natural Language Processing , Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English.
Natural Language Understanding (NLU)
Natural Language Generation (NLG)
This video shows how we can use Break and Continue statements in a loop to effectively handle exceptions.
Applied AI course (AAIC Technologies Pvt. Ltd.) is an Ed-Tech company based out in Hyderabad offering on-line training in Machine Learning and Artificial intelligence. Applied AI course through its unparalleled curriculum aims to bridge the gap between industry requirements and skill set of aspiring candidates by churning out highly skilled machine learning professionals who are well prepared to tackle real world business problems.
*Key highlights of Applied AI course*
1. Job guarantee or money back guarantee
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3. Personalized learning path for every course participant
4. 30 Practical Assignments
5. 15 end-to-end case studies based on real world problems across various industries
6. Mentor-ship for portfolio development, resume and interview preparation, and career counseling for every course participant
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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.
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Artificial Intelligence (AI) will transform the way education is offered and accessed: AI applications enable personalized education by adapting the content to optimally support the learning success of individual students. In this video, experts discuss, how will AI affect learning and teaching, what kind of data should we use in learning-related AI applications, and what societal and political decisions should be made regarding learning and AI.
The video was produced by the Finnish Ministry of Education & Culture in collaboration with Aalto University. The expert interviewees in the video are Alex Jung, Assistant Professor of Computer Science at Aalto University, Teemu Roos, Leader of AI Education at Finnish Center for Artificial Intelligence, and Ella Bingham, Head of Research Services at Aalto University.
5G networks, smart devices, artificial intelligence, digital citizenship — what does all this mean for education? ISTE CEO, Richard Culatta, asks educators how we’re preparing our students to thrive in a world of high-speed networks and AI. How can we redefine digital citizenship to be positive and proactive?
Help us take bold steps towards a world where we’re using technology to bring people together, to talk with people we disagree with about important issues, to use technology to serve our community and make the world around us a better place, to give a voice to the voiceless.
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Dan Faggella is Founder and Head of Research at Emerj and advises the UN, Interpol and global enterprises on Artificial Intelligence. He is also a former MMA coach and fighter.
In this conversation we discuss: AI, social media and filter bubble creation; monopolies and power concentration in Big Tech; weaponisation of social media and AI, and the difficulties in defining what can be classed as weaponisation; whether digital media culture is fragmenting nations; autocults; blind spots in public understanding of AI; the rapid increase in capability of AI image manipulation, and the end of the correspondence between images and reality; the pace at which different sectors will be affected by AI; user experience and interface design; the difference between customer facing and backend AI applications, and the amount of error they can tolerate; the prospects of friendship, lovers, teachers and other social relationships being replaced by virtual versions; Dan’s concepts of Lotus Eaters and World Eaters – the former numbing themselves and escaping with tech, the latter radically extending their capabilities with it.
Music by Salvatore Schiano
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Artificial Intelligence certainly has the potential to make our lives easier but what jobs will be left for us puny humans once the Robots are out performing our own abilities?
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Book review for
Architects of Intelligence: The truth about AI from the people building it
by: Martin Ford
The show asks how will the AI revolution change the world? Part one features Jeremy Kahn, Bloomberg Tech Reporter, Mike McDonough Global Chief Economist at Bloomberg Intellligence and Gideon Mann, Head of Data Science at Bloombeg, Part Two features Martin Ford, Author of Rise of the Robots. Part Three features how AI could soon be changing healthcare.
Forward Thinking: March of the Machines – Episode 1
Stars: Dafydd Rees, Alastair Bates
Genres: Documentary | News
The future is uncertain and full of challenges. How do we rescue our cities and tackle inequalities? How do we deal with an aging future and bridging the gender gap? It’s time for some forward thinking.
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Super Intelligence is getting closer each year and recently, there has been much speculation about how ASI will affect humanity. What is ASI and how far are we from creating one?
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कमाओ कोरोड़,How to start artificial intelligence startup हिन्दी में सब कुछ
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This video is merely a general guide meant for learning purposes only. All the instructions, references, content or documents are for educational purposes only and do not constitute a legal advice. We do not accept any liabilities whatsoever for any losses caused directly or indirectly by the use/reliance of any information contained in this video or for any conclusion of the information. Prior to acting upon this video, you’re suggested to seek the advice of your financial, legal, tax or professional advisors as to the risks involved may be obtained and necessary due diligence, etc may be done at your end.
Semantic for preposition logic in ai or artificial intelligence
Her research interests focus on artificial intelligence (AI), with an emphasis on preference modelling and reasoning, constraint processing, multi-agent systems and voting theory. Among other things, she wants to study how people make decisions and compromise in social contexts, based on their preferences. On our stage she will share with us some findings of her research and elaborate on the present and future of AI.
Professor of computer science at the University of Padova, Italy
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Rod Brooks, Founder, Chairman and CTO, Rethink Robotics
Tom Kochan, Co-Director and Professor, Work and Employment Research, MIT Sloan School of Management
Andrew McAfee, Co-Director, MIT Initiative on the Digital Economy, and Principal Research Scientist, MIT Sloan School of Management
November 2nd, 2017
WILL ARTIFICIAL INTELLIGENCE OUTSMART US ?
from – Brief Answers To Short Questions by Stephen Hawking.
#1 NEW YORK TIMES BESTSELLER.
#intellectual #book #audiobook #stephenhawking
Artificial intelligence has been described as “the new electricity”, poised to revolutionize human life and benefit society as much or more than electricity did 100 years ago. AI has also been described as “our biggest existential threat”, a technology that could “spell the end of the human race”. Should we welcome intelligent machines or fear them? Or perhaps question whether they are actually intelligent at all? In this talk, AI researcher and award-winning author Melanie Mitchell describes the current state of artificial intelligence, highlighting the field’s recent stunning achievements as well as its surprising failures. Mitchell considers the ethical issues surrounding the increasing deployment of AI systems in all aspects of our society, and closely examines the prospects for imbuing computers with humanlike qualities.
Berkeley EECS Annual Research Symposium 2/9/17
Panel 2 – Long-Term Future of (Artificial) Intelligence
Provably Beneficial AI – Stuart Russell (0:00-24:25)
The Future of AI is Here – Benjamin Recht (25:34-36:16)
A Glimmer of Hope – Alyosha Efros (36:23-42:12)
panel discussion (42:15-1:19:45)
Captions available upon request.
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)
Wednesday, October 16, 2019
306 Soda Hall (HP Auditorium)
Caption available upon request
Artificial intelligence is beginning to be usefully deployed in almost every industry from customer call centers and finance to drug research. Yet the field is also plagued by relentless hype, opaque jargon and esoteric technology making it difficult for outsiders identify the most interesting companies.
To cut through the spin, Forbes partnered with venture firms Sequoia Capital and Meritech Capital to create our second annual AI 50, a list of private, U.S.-based companies that are using artificial intelligence in meaningful business-oriented ways. To be included, companies had to be privately-held and focused on techniques like machine learning (where systems learn from data to improve on tasks), natural language processing (which enables programs to “understand” written or spoken language), or computer vision (which relates to how machines “see”).
The list was compiled through a submission process open to any AI company in the U.S. The application asked companies to provide details on their technology, business model, customers and financials like funding, valuation and revenue history (companies had the option to submit information confidentially, to encourage greater transparency). In total, Forbes received about 400 entries. From there, our VC partners applied an algorithm to identify the 100 with the highest quantitative scores and then a panel of eight expert AI judges identified the 50 most compelling companies.
Read the full profile on Forbes: https://www.forbes.com/sites/alanohnsman/2020/07/03/ai-50-americas-most-promising-artificial-intelligence-companies/#6244263a5c99
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Natural language processing is a subfield of artificial intelligence (AI) concerned with the interactions between computers and human languages. It was formulated to build software that generates and comprehends natural languages so that a user can have natural conversations with the computer instead of through programming or artificial languages like Java or C. In this video, we will be learning all about Natural Language Processing (NLP), its various aspects and what the future holds for NLP.
Stay tuned to learn more about NLP with Great Learning!
#NaturalLanguageProcessing #ArtificialIntelligence #GreatLearning
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NLP : NLU & NLG, Difficulties discussed
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Preposition logic in artificial intelligence
Artificial intelligence 25 Predicate Logic In ai or predicate logic in artificial intelligence.
predicate logic is different from prepositional logic as predicate logic deals with relation and real world entity unlike prepositional logic which is based on true or false
predicate logic deals with 3 world entities known as
predicate object, predicate function predicate relation.
predicate logic has ability to represent facts about object
predicate logic enables to represent law and facts from real world entity
predicate syntax follow object , relation and function. this video is about predicate logic in artificial intelligence
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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
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This session took place in February 2016.
Part 1 of 7 – Speaker: Dr Maja Pantic, Professor of Affective Behavioural Computing, Imperial College London
Data mining, machine learning and artificial intelligence are becoming the most talk-about topics in digital health. With vast volumes of medical data available, exploiting these techniques to derive valuable insights may both challenge and reshape certain elements of our healthcare system.
These new approaches are leading to redefining drug discovery, assisting and automating diagnoses and helping predict and prevent diseases using health record data – or even our digital footprint. Artificially intelligent algorithms will permeate both the lives of the doctor and patient.
But there remains much hype, confusion and misunderstanding in the field. What is possible and what are the limitations? How will medicine adapt and what will be the impact on patient’s health and autonomy?
Over the years, art across all genres has evolved, be it its definition, structure or its medium. The one thing that has stayed constant is its association with humans and their creativity. Until #ArtificialIntelligence stepped in. Then, the game changed.
Check out this video to know how Artificial Intelligence is getting into the shoes of the most creative minds of all time.
Also, let us know in the comments if you believe that Art in Artificial Intelligence is the future.
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Talks @ Amsterdam AI #2, 27.09.2016
► Camiel Verschoor from Brids.AI talking – “Using AI to push agriculture forward”
► Rodger Buyvoets from Crobox
Amsterdam AI is part of the global applied AI community City AI. We are a community of AI practitioners across 40+ cities that share their challenges and lessons learned in applied AI. For that purpose we organize quarterly get-togethers that help you connect to your local artificial intelligence community.
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“We Come In Peace” II, was a practical panel discussion that discussed the impact of Artificial Intelligence in our Ohio communities. The panelists covered some of the many projects underway in Ohio that utilizes AI technology such as Smart Cities, Self-Driving Vehicles, Cognitive Computing, and local AI start-ups. But also discussed some of the social, ethical, and economic challenges that have to be met when implementing AI technologies. The panelists were: Andrew Konya, CEO of Remesh,
Cleveland, Ohio, Doug McCollough, Chief Technology Officer, Dublin, Ohio, Paul Carlson, Intelligent Community Strategist, Columbus, Ohio, Dr. Mark Vopat, Political Philosophy, Technology Ethicist, Youngstown State University, Dr. Jay Ramanathan
Executive Director of Arthapedia.zone, and Dr. Shiqi Zhang, AI and Human-Robotics Researcher, Cleveland State University. Our very special guest moderator is Nikola Danaylov, Singularity Keynote Speaker, Blogger and Podcast Host.
Science Documentary: Genetics, Robotics, Quantum Computing, Artificial Intelligence
There are several technologies emerging that will change what it means to be called a human being. Genetics is the manipulation of cells at their most basic levels. Along with genomics, the manipulation of proteins will give scientists the ability to create whatever they want.
In the pharmaceutical industry, one of the most exciting treatments to arise are memory pills. These should be available in the coming years to treat patients with alzheimer’s and eventually the general public. The possibilities include eventually being able to take a pill to help you learn another language, improve test taking, etc.
Another interesting promise of the future of genetics is the promise of various new vaccines to help quit smoking. Also, DARPA has developed an anti-sleep vaccine. This is a vaccine that simply shuts off the trigger that makes us fall asleep. Another human enhancement technology being developed by DARPA is a drug that triggers the body to burn fat cells.
The future of robotics involves the melding of human and machine attributes into what can be referred to as a cyborg. Intelligent machines are becoming more and more prevalent in military combat. And they are also becoming much more complex. Wearable robot suits that amplify your lifting capacity will be available in the not so distant future.
Consciousness and Neuroscience
One of the biggest mysteries in neuroscience is consciousness. Scientists have discovered a lot about the brain, but little progress has been made in understanding consciousness. It is as if the study of the brain and mind are separate. It is puzzling to scientists as to why we subjectively experience anything. If we understood every single brain cell and every single brain process, we still would not understand consciousness as a physical object within the brain. Any kind of theory of the brain, that is able to handle and support an understanding of subjective experience or neuro-rehabilitation or other such complex brain functions may revolutionize artificial intelligence and robotics.
AGI – Artificial General Intelligence
Artificial intelligence is currently being used to control animated characters in video games. Integrating Artificial intelligence into robotics has proved rather difficult. As humans, we use metaphors everyday in our speech to describe complex ideas. Trying to teach robots to be able to interpret and comprehend these metaphors could be a tough task. But as scientists progress in their integration of artificial intelligence and robotics, we may soon see more and more of our human senses replicated in a much more precise and sophisticated fashion.
Optical Quantum Computing
The future of medial treatment may involve the use of quantum computers. Patients will have a device like a cell phone that they carry with them which monitors their health and sends the information to their doctor who can then prescribe treatment to his patient. Understanding quantum physics has allowed researchers to develop this technology as well as other more and more complex quantum technologies.
Science Documentary: Personalized Medicine, Synthetic Biology , a documentary on genetic design
Science Documentary:Perfect lenses,smart textiles,biomedical sensors a documentary on nanotechnology
Science Documentary: Comets: threat to extinguish life and potential to bring life: Rosetta, Philae
Science Documentary: The Sun, a science documentary on star life cycles, star formation
Science Documentary: Big Bang, Inflation, Multiverse, a Documentary on Cosmology
Science Documentary: Planet formation, a documentary on elements, early earth and plate tectonics
Science Documentary : Electromagnetic Spectrum , a science documentary on forms of light
This will help you to learn how artificial intelligence is improving our lifestyle daily. What are the types of artificial intelligence? How can artificial intelligence will be creative and mimic humans. How we are transforming our all dependencies on Artificial Intelligence. So watch complete video.
Humans create an AI designed to produce paperclips. It has one goal, to maximize the number of paperclips in the universe. The machine becomes more intelligent and optimizes its single function, producing paperclips. Eventually that machine learns that converting all of the matter, including people, into paperclips, is the best way to achieve its singular goal.
That’s a thought experiment in the book titled, Superintelligence, by nick bostrom, a philosopher who directs the Future of Humanity Institute at the University of Oxford.
It sounds stupid at first, right?
Well, not entirely.
Our actions as humans are based on values, rules, interest, greed, love, fear.
Artificial Superintelligence has none of that.Just one goal to achieve and unlimited resources. Of course , we are oversimplifying things here, but that’s in order to understand how easy it is to underestimate the potential threats coming from artificial intelligence.
But not everyone agrees with this scenario.
Kurzweil [computers become smarter than humans] this would begin a beautiful new era. Such machines would have the insight and patience (measured in picoseconds) to solve the outstanding problems of nanotechnology and spaceflight; they would improve the human condition and let us upload our consciousness into an immortal digital form. Intelligence would spread throughout the cosmos.”
I am infinitely excited about artificial intelligence and not worried at all. Not in the slightest. AI will free us humans from highly repetitive mindless repetitive office work, and give us much more time to be truly creative. I can’t wait. — Sebastian Thrun, computer science professor, Stanford University
But Stephen Hawking it’s not so optimistic. He has warned that humans would have no chance to control a superintelligent machine , and that “could spell the end of the human race.” Upon reading Superintelligence, the entrepreneur Elon Musk tweeted: “Hope we’re not just the biological boot loader for digital superintelligence. Unfortunately, that is increasingly probable.”
Russell made this analogy: “It’s like fusion research. If you ask a fusion researcher what they do, they say they work on containment. If you want unlimited energy you’d better contain the fusion reaction. Similarly, if you want unlimited intelligence, you’d better figure out how to align computers with human needs.”
But let’s set all that to the side.The stage that we are today, is called weak artificial intelligence, and it’s used today on semi self driving cars, personal assistants, and much more. It’s not self-aware or goal-driven,therefore it doesn’t represent any threats to humanity. We are nowhere near having a general purpose artificial intelligence, let alone a superintelligent one. Experts agree, that we are at least 20 years away from the next breakthrough in this field.
Worrying about evil-killer AI today is like worrying about overpopulation on the planet Mars. Perhaps it’ll be a problem someday, but we haven’t even landed on the planet yet. This hype has been unnecessarily distracting everyone from the much bigger problem AI creates, which is job displacement. — Andrew NG, VP and chief scientist of Baidu; co-chair and co-founder of Coursera; adjunct professor, Stanford University
In my opinion, that’s a good point. Let’s focus on the effect of AI on the economy.
“I am less concerned with Terminator scenarios, If current trends continue, people are going to rise up well before the machines do.” MIT economist Andrew McAfee.
Impending Boom by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)
Backed Vibes Clean – Rollin at 5 by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)