Artificial Intelligence in pop culture - the case of Spike Jonze's movie "Her" (2013)
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In a near future, a lonely writer develops an unlikely relationship with an operating system designed to meet his every need.
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Definition of cookies
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A cookie is a tiny file dropped by your browser onto your computer's hard drive when you visit a site. They contain records of your interac…
A cookie is a tiny file dropped by your browser onto your computer's hard drive when you visit a site. They contain records of your interaction, for instance what you clicked on or whether you are signed in to the site. They don't collect personal data from your hard drive, they simply carry the data created by your browsing.
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Ad Tech Surveillance on the Public Sector Web (Report by Cookiebot)
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Ad tech companies are extensively tracking EU citizens who visit non-ad funded government and public sector websites. Even on sites featuri…
Ad tech companies are extensively tracking EU citizens who visit non-ad funded government and public sector websites. Even on sites featuring sensitive health information, vulnerable citizens are unknowingly being tracked. EU governments and public sectors are thereby – unintentionally – serving as platforms for online commercial surveillance.
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Saying ‘A.I Do’ to Artificial Intelligence in Advertising
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AI is infiltrating everything we do, even if we aren’t aware of it. And it’s no different in digital advertising. In this piece for Exchang…
AI is infiltrating everything we do, even if we aren’t aware of it. And it’s no different in digital advertising. In this piece for ExchangeWire, Cheryl Guzman Ng (pictured below), APAC head of marketing and innovation, Xaxis, explains how marketers can look to adopt it in their marketing operations.
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Citizenfour Official Trailer 1 (2014) - Edward Snowden Documentary HD
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CITIZENFOUR is the never before seen, utterly riveting first-person look at how director Laura Poitras and journalist Glenn Greenwald first…
CITIZENFOUR is the never before seen, utterly riveting first-person look at how director Laura Poitras and journalist Glenn Greenwald first met with whistleblower Edward Snowden in Hong Kong where he gave them documents showing widespread abuses of power by the National Security Administration. It is an unprecedented fly-on-the-wall account of one of the most groundbreaking moments in recent history. In January 2013, Poitras (recipient of the 2012 MacArthur Genius Fellowship and co-recipient of the 2014 Pulitzer Prize for Public Service) was several years into making a film about surveillance in the post-9/11 era when she started receiving encrypted e-mails from someone identifying himself as "citizen four," who was ready to blow the whistle on the massive covert surveillance programs run by the NSA and other intelligence agencies. In June 2013, she and Greenwald flew to Hong Kong for the first of many meetings with the man who turned out to be Snowden. She brought her camera with her. The film that resulted from this series of tense encounters is absolutely sui generis in the history of cinema: a 100% real-life thriller unfolding minute by minute before our eyes. Executive Produced by Steven Soderbergh.
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How AI Is Making Advertising More Efficient and Consumer-Focused
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Conversational insight is the most effective tool brands have ever had
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A Decision Theoretic Approach to Targeted Advertising
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A simple advertising strategy that can be used to help increase sales of a product is to mail out special offers to selected potential …
A simple advertising strategy that can be used to help increase sales of a product is to mail out special offers to selected potential customers. Because there is a cost associated with sending each offer, the optimal mailing strategy depends on both the benefit obtained from a purchase and how the offer affects the buying behavior of the customers. In this paper, we describe two methods for partitioning the potential customers into groups, and show how to perform a simple cost-benefit analysis to decide which, if any, of the groups should be targeted. In particular, we consider two decision-tree learning algorithms. The first is an "off the shelf" algorithm used to model the probability that groups of customers will buy the product. The second is a new algorithm that is similar to the first, except that for each group, it explicitly models the probability of purchase under the two mailing scenarios: (1) the mail is sent to members of that group and (2) the mail is not sent to members of that group. Using data from a real-world advertising experiment, we compare the algorithms to each other and to a naive mail-to-all strategy.
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NLP Tutorial Using Python NLTK (Simple Examples)
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In this post, we will talk about natural language processing (NLP) using Python. This NLP tutorial will use Python NLTK library. NLTK is a …
In this post, we will talk about natural language processing (NLP) using Python. This NLP tutorial will use Python NLTK library. NLTK is a popular Python library which is used for NLP.
So what is NLP? and what are the benefits of learning NLP?
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AI and the future of ads
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AI is taking over and it’s starting to heavily impact the advertising industry - companies now use machine learning to decide which impress…
AI is taking over and it’s starting to heavily impact the advertising industry - companies now use machine learning to decide which impressions to buy, which consumers to target and, increasingly more, what version of a creative to show to every single individual. We’re ready for a future in which data enhanced creativity helps algorithms deliver the perfectly useful, self-assembled, targeted and conversational message to each consumer in real-time. Emi Gal, CEO, Teads Studio
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The Current Applications Of Artificial Intelligence In Mobile Advertising
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The concept of self-programming computers was closer to science fiction than reality just ten years ago. Today, we feel comfortable convers…
The concept of self-programming computers was closer to science fiction than reality just ten years ago. Today, we feel comfortable conversing with smart personal assistant like Siri and keep wondering just how Spotify guessed what we like.
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Keep Calm and Learn Deep Learning | Tadeo Corradi | TEDxBeechenCliffSchool
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The role of deep learning in the development of artificial intelligence. This talk was given at a TEDx event using the TED conference forma…
The role of deep learning in the development of artificial intelligence. 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
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The art of neural networks | Mike Tyka | TEDxTUM
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Did you know that art and technology can produce fascinating results when combined? Mike Tyka, who is both artist and computer scientist, t…
Did you know that art and technology can produce fascinating results when combined? Mike Tyka, who is both artist and computer scientist, talks about the power of neural networks. These algorithms are capable to transform computers into artists that can generate breathtaking paintings, music and even poetry. Dr. Mike Tyka studied Biochemistry and Biotechnology at the University of Bristol. He obtained his Ph.D. in Biophysics in 2007 and went on to work as a research fellow at the University of Washington, studying the structure and dynamics of protein molecules. In particular, he has been interested in protein folding and has been writing computer simulation software to better understand this fascinating process. In 2009, Mike and a team of artists created Groovik’s Cube, a 35 feet tall, functional, multi-player Rubik’s cube. Since then, he co-founded ATLSpace, an artist studio in Seattle and has been creating metal and glass sculptures of protein molecules. In 2013 Mike went to Google to study neural networks, both artificial and natural. This work naturally spilled over to his artistic interests, exploring the possibilities of artificial neural networks for creating art. 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
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The Rise of Artificial Intelligence through Deep Learning | Yoshua Bengio | TEDxMontreal
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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 …
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 believes that understanding the basics of AI is within every citizen’s reach. That democratizing these issues is important so that our societies can make the best collective decisions regarding the major changes AI will bring, thus making these changes beneficial and advantageous for all. ___________________________ Yoshua Bengio is one of the pioneers of Deep Learning. He is the head of the Montreal Institute for Learning Algorithms (MILA), Professor at the Université de Montréal, member of the NIPS board and co-founder of Element AI. With a PhD from McGill University (1991, Computer Science) and postdocs at MIT and AT&T Bell Labs, he holds the Canada Research Chair in Statistical Learning Algorithms, is a Senior Fellow of the Canadian Institute for Advanced Research and co-directs its program focused on deep learning. He is best known for his contributions to deep learning, recurrent nets, neural language models, neural machine translation and biologically inspired machine learning. https://mila.umontreal.ca/en/ https://www.elementai.com/ ___________________________ For more information visit http://www.tedxmontreal.com 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
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Benefits & Risks of Artificial Intelligence
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“Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has …
“Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial.“
Max Tegmark, President of the Future of Life Institute
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What is Artificial Intelligence?
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The easiest way to think about artificial intelligence is in a context of a human. After all, humans are the most intelligent creatures we …
The easiest way to think about artificial intelligence is in a context of a human. After all, humans are the most intelligent creatures we know of. AI is a broad branch of computer science. The goal of AI is to create systems that can function intelligently and independently. The video introduces its watchers to terms like Statistical Learning, Speech Recognition, Natural Language Processing, Image Processing, Symbolic Learning, Computer Vision, Robotics, Pattern Recognition, Machine Learning etc.
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Natural Language Processing(NLP) for Machine Learning
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In this article well be learning about Natural Language Processing(NLP) which can help computers analyze text easily i.e detect spam emails…
In this article well be learning about Natural Language Processing(NLP) which can help computers analyze text easily i.e detect spam emails, autocorrect. We’ll see how NLP tasks are carried out for understanding human language.
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Inroduction to Machine Learning
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A MIT OpenCoursware video introduction to Machine Learning
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But what *is* a Neural Network?
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A video lesson about Neural Network and Deep Learning
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Humanoid social robots as a medium of communication
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This article examines the emerging phenomenon of humanoid social robots and human-humanoid interactions. A central argument of this article…
This article examines the emerging phenomenon of humanoid social robots and human-humanoid interactions. A central argument of this article is that humanoid social robots belong to a special type of robotic technology used for communicating and interacting with humans. These robotic entities, which can be in either mechanical or digital form, are autonomous, interactive and humanlike. Some of them are used to interact with humans for utilitarian purposes and others are designed to trigger human emotions. Incorporation of such robotic entities into the realm of social life invariably alters the condition as well as the dynamics of human interaction, giving rise to a synthetic society in which humans co-mingle with humanoids. More research is needed to investigate the social and cultural impact of this unfolding robotic revolution.
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Machine Learning
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Some of the questions that are addressed in the video are:
What is Machine Learning?
Why Machine Learning is so crucial for the enterpr…
Some of the questions that are addressed in the video are:
What is Machine Learning?
Why Machine Learning is so crucial for the enterprise?
How does Machine Learning work?
What happens under the hood of a Machine Learning algorithm?
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Natural Language Processing With Python and NLTK Tokenizing words and Sentences
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Natural Language Processing With Python and NLTK Tokenizing words and Sentences
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