Computers already play games such as Super Mario Bros or chess better then humans do. But can they understand emotions and interact with humans? Or even become smarter than the human race? In his insightful talk, 22 year-old Daniel Dippold shows how a computer plays Super Mario and discovers the rules all by itself. He explains that society has not clearly defined what AI is yet and appeals urgently to the viewers by suggesting an open and broader discussion on the philosophical and ethical aspects of AI.
When most of us look at A.I. we see magical capabilities. When economists look at A.I. they see something very different. Economist Ajay Agrawal explains: "What economists bring to the conversation is that they are able to look at a fascinating technology like artificial intelligence and strip all the fun and wizardry out of it and reduce A.I. down to a single question, which is, 'What does this technology reduce the cost of?'" Never has one person taken such delight in stripping the fun from something awesome. But what does A.I. lower the cost of? Predictions, says Agrawal. Intelligent machines can take information we have and use it to generate information we need. Uncertainty is the single biggest hurdle in good decision making, and A.I. can drastically increase certainty in many areas, like automated vehicles, language translation, human resources and medical diagnostics. As A.I. becomes a cheaper technology, its use will become even more widespread. "Where I think it’s really interesting is that when it becomes cheap, we’ll start using it for things that weren’t traditionally prediction problems but we’ll start converting problems into prediction problems to take advantage of the new, cheap prediction." Ajay Agrawal is the co-author of Prediction Machines: The Simple Economics of Artificial Intelligence.
Stanford Law Professor David Freeman Engstrom discusses the law and AI community during the human and societal impact lightning talk at the inaugural HAI Symposium on March 18, 2019.
Machine learning and artificial intelligence are changing the nature of biological research, especially genomics. Artificial intelligence applications are opening up our understanding of ourselves and disease, and we must strive to create tools that can work as partners in research, not simply as black boxes. Barbara Engelhardt is an assistant professor in the Computer Science Department at Princeton University since 2014. She graduated from Stanford University and received her Ph.D. from the University of California, Berkeley, advised by Professor Michael Jordan. She did postdoctoral research at the University of Chicago, working with Professor Matthew Stephens, and three years at Duke University as an assistant professor. Interspersed among her academic experiences, she spent two years working at the Jet Propulsion Laboratory, a summer at Google Research, and a year at 23andMe, a DNA ancestry service. Professor Engelhardt received an NSF Graduate Research Fellowship, the Google Anita Borg Memorial Scholarship, the Walter M. Fitch Prize from the Society for Molecular Biology and Evolution, an NIH NHGRI K99/R00 Pathway to Independence Award, and the Sloan Faculty Fellowship. Professor Engelhardt is currently a PI on the Genotype-Tissue Expression (GTEx) Consortium. Her research interests involve statistical models and methods for analysis of high-dimensional data, with a goal of understanding the underlying biological mechanisms of complex phenotypes and human diseases. 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
Faster medical treatment saves lives. Machine Learning is already saving lives, by scouring a multitude of patients’ data and comparing them to one patient’s health data to detect symptoms 12 to 24 hours sooner than a doctor could. "In many pressing medical problems, the answers to knowing whom to treat, when to treat, and what to treat with, might already be in your data" says Suchi Saria. Learn how TREWS (Targeted Real-time Early Warning Score) is leading the way to save lives.
Artificial Intelligence in simple terms is a branch of technology that focuses on machines and them having the capability to think and make decisions like human beings. It has evolved to an extent where machines are able to recognize speech, visuals, languages and eventually make sound decisions. Moving on, Machine Learning is the subset of Artificial Intelligence that helps machines make decisions based on their previous outcomes or experiences. Moving further ahead, we have the final branch of Artificial Intelligence, Deep Machine Learning that is a subset of Machine Learning. What is Deep Learning? In Deep Learning machine trains itself with the help of deep learning algorithms and neural networks to recognize images or detect speech. Deep Machine Learning is the most advanced form of Artificial Intelligence today.
Damian Borth zeigt uns, dass Künstliche Intelligenz längst Teil unseres täglichen Lebens ist.
Culture, creatives, and the marketplace are becoming more interested in the development of Artificial Intelligence. In 2014, AI startups saw a 302 percent increase in funding. The potential to better our lives, solve global problems, and innovate completely new fields of study is exciting and humbling. But how should we think about these trends through the lens of spiritually? Kevin Kelly of WIRED magazine helps us understand what AI means for how our culture can and will change, and challenge us to consider the implications for religion, spirituality, and faith.
During the evolution of technology and artificial intelligence, the human race has been concerned about the ability of the robot to take place of the human race and full awareness of its existence, leading to the exchange of roles.
Special Credits @Ted
A revolution in AI is occurring thanks to progress in deep learning. How far are we towards the goal of achieving human-level AI? What are some of the main challenges ahead?
Yoshua Bengio talks about artificial intelligence through deep learning at TedXMontreal. http://bit.ly/2BDTHcs
Artificial Neural Networks are inspired by some of the "computations" that occur in human brains—real neural networks. In the past 10 years, much progress has been made with Artificial Neural Networks and Deep Learning due to accelerated computer power (GPUs), Open Source coding libraries that are being leveraged, and in-the-moment debates and corroborations via social media. Hugo Larochelle shares his observations of what’s been made possible with the underpinnings of Deep Learning.
Technologies such as Blockchain, machine learning, artificial intelligence and the Cloud have now been tested and validated by the market, creating a convergence that allows for exciting new solutions that have never before been available on a global scale. The world has new problems that only the integration of all these technologies can solve.
What is a true artificial intelligence and why don't we have it today? To answer this question, high school student Andrew Zeitler looks at the different parts of our mind that make us human beings. We are given an idea of how certain processes of our brain can be programmed with today's technology. He takes us on a journey from the hard-wired neurones of our brain to the very fundamental aspects of the human species. Within this thought-provoking talk, Andrew shares his idea of how an artificial mind may "think" and how such a program would function just like a human being.
What is AI? What is machine learning and how does it work? You’ve probably heard the buzz. The age of artificial intelligence has arrived. But that doesn’t mean it's easy to wrap your mind around. For the full story on the rise of artificial intelligence, check out The Robot Revolution: http://hubs.ly/H0630650
Artificial Intelligence will eliminate millions of jobs.
Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, or could it present a threat to the very basis of human civilization? The future of artificial intelligence is up for debate, and the Origins Project is bringing together a distinguished panel of experts, intellectuals and public figures to discuss who’s in control. Eric Horvitz, Jaan Tallinn, Kathleen Fisher and Subbarao Kambhampati join Origins Project director Lawrence Krauss.
Part 02 - https://youtu.be/eXc5cWEkb4Y
Daria is a project manager at the international R&D company GoodAI, which focuses on building general-purpose artificial intelligence to automate cognitive processes in science, technology, business and other fields. Daria's mission at GoodAI is to shape the AI ecosystem in CEE to empower research on general-purpose AI. This is done through various activities, lectures, events and projects for both research and business. One example is the General AI Challenge which will be held in Prague in August 2018. It's an international citizen science project launched by GoodAI with $5m in prizes. Before joining GoodAI, Daria was in IT management consulting and business development in Russia, Belgium and the Czech Republic.
Darya Hvizdalova is a member of the international research & development company GoodAI which focuses on building a general artificial intelligence software program that will automate cognitive processes in science, technology, business and other fields. She speaks about how each of us can participate in the process.
Darya is a member of the international research & development company GoodAI which focuses on building a general artificial intelligence software program that will automate cognitive processes in sceince, technology, business and other fields. 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
For all the talk of AI, it always seems that gossip is faster than progress. But it could be that within this century, we will fully realize the visions science fiction has promised us, says Dr. Ben Goertzel – for better or worse. Humanity will always create and invent, but the last invention of necessity will be a human-level Artificial General Intelligence mind, which will be able to create a new AIG with super-human intelligence, and continually create smarter and smarter versions of itself. It will provide all basic human needs – food, shelter, water – and those of us who wish to experience a higher echelon of consciousness and intelligence will be able to upgrade to become super-human. Or, perhaps there will be war – there’s a bit of uncertainty there, admits Goertzel. “There’s a lot of work to get to the point where intelligence explodes… But I do think it’s reasonably probable we can get there in my lifetime, which is rather exciting,” he says. Ben Goertzel's most recent book is AGI Revolution: An Inside View of the Rise of Artificial General Intelligence (goo.gl/ZjkSHq).
Founder and CEO of Arago
The Future of Management in an Artificial Intelligence-Based World
For more info about the conference: https://bit.ly/2J30TD3
We’re already seeing artificial intelligence apps such as Google Lens (camera search) and Netflix (recommendation algorithms), but could app developers be doing more with machine learning and smartphone AI? Let us know your thoughts & get the survey report: https://grow.ac/ai_data
The Future of Management in an Artificial Intelligence-Based World
Hans-Christian Boos has a mission: empowering human potential,
freeing up time for creativity and innovative thinking
through artificial intelligence (AI). Chris Boos has a mission: empowering human potential, freeing up time for creativity and innovative thinking through artificial intelligence (AI). To that end, Chris founded Arago in Germany in 1995, pushing existing boundaries in AI technology to build a general AI. Since then, Chris has led Arago to become a key partner and driver for the established economy. But his ambitions go far beyond: a strong believer in integrating machine reasoning and machine learning, Chris is constantly challenging current thinking on AI. As a strategic corporate and political advisor, as well as angel investor, Chris’ multifaceted engagement for AI makes him a much respected public speaker and thought-leader on issues of global importance, such as the man-machine-relationship, the way societies deal with information and the future of labor. 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
The goals for ARTIFICIAL SUPER INTELLIGENCE
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