Top Mobile App & Web Development Company In 2018 - https://goo.gl/W1ityG (More)

Learn about the 50 most successful Chinese AI companies based on a study of over 500 Chinese AI companies during the past five month done by China Money Network. (More)

This is the third video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more. (More)

This is the second video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more. (More)

One of the largest elements to any data analysis, natural language processing included, is pre-processing. This is the methodology used to "clean up" and prepare your data for analysis. (More)

Natural Language Processing is the task we give computers to read and understand (process) written text (natural language). By far, the most popular toolkit or API to do natural language processing is the Natural Language Toolkit for the Python programming language. (More)

During Uber Engineering’s first Machine Learning Meetup on September 12, 2017, Principal Engineer Waleed Kadous discusses how machine learning extracts raw data and turns it into actionable knowledge about the physical world to improve user experiences on the Uber platform. Examples of Uber Maps’ machine learning applications include destination prediction (predicting which destination a user will choose based on previous trips) and computer vision for map optical character recognition. (More)

In this video from the 2016 Stanford HPC Conference, Julie Bernauer from Nvidia presents: HPC, Deep Learning and GPUs. (More)

DataRobot offers an automated machine learning platform for anyone to build and deploy accurate predictive models fast. (More)

During Uber Engineering’s first Machine Learning Meetup on September 12, 2017, Franziska Bell explains how Uber’s data science platforms to increase the effectiveness and efficiency of our products and operations. Examples include our machine learning-as-a-service platform (Michelangelo), forecasting platform (e.g., hardware capacity planning), and anomaly detection (e.g.,for predicting extreme events). (More)

ML.NET is a free, cross-platform, and open source machine learning framework for .NET developers. It is also an extensible platform that powers Microsoft services like Windows Hello, Bing Ads, PowerPoint Design Ideas, and more. This session focuses on the release of ML.NET 1.0. If you want to learn the basics about machine learning and how to develop and integrate custom machine learning models into your applications, this demo-rich session is made for you! (More)

Credits to scrubadub (check for user: scrubadub1 for more videos like this !) for sharing this first, until he got banned... Here we go again... Please don't ban me. (More)

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. (More)

While much of this technology is still fairly rudimentary at the moment, we can expect sophisticated AI to one day significantly impact our everyday lives. (More)

Google AI Chief Jeff Dean on Google’s newest developments in AI (More)

Is this time different? Artificial intelligence is capturing the curiosities, hopes, and fears of people all over the country. Will AI spur extraordinary improvements in security, healthcare, and convenience all while creating new industries, boosting US productivity, and improving quality of life? Or will AI cause millions of workers to become redundant, catalyze massive unemployment, and undermine the socio-economic fabric of American democracy? Born in Ithaca, New York, Julian is the Founding Editor in Chief of the Brown University Journal of Philosophy, Politics, and Economics (PPE) and a journalist. He has published more than 35 articles and essays in 15 publications and has conducted interviews with Bernie Sanders, David Cameron, Noam Chomsky, Peter Hitchens, Tom Perez, and Reza Aslan among others. For over a year, his work has focused on emerging technology and the effects of artificial intelligence on US income inequality and American democracy. His research on the topic is being used to support his senior thesis, which is being supervised by political economy scholar Mark Blyth. He has also worked as an intern at The Brookings Institution and in President Barack Obama's post-presidency office, where he supported the 44th President's correspondence, communications, and speechwriting teams. 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 (More)

Geordie Rose, Founder of D-Wave (recent clients are

Google (More)

Humanity's biggest threat is A.I and Quantum Computing. Dwave, Geordie Rose, CERN. The 'Anonymous Charity' also known as 'The Collective', know what your intentions are. Today, The Anonymous Charity will discuss the current stage of the New World Order: The Death of Privacy and Mankind's biggest threat yet. Artificial Intelligence. (More)

Dr. Yoshua Bengio, Professor, Department of Computer Science & Operations Research, Université de Montréal (More)

“AI is no longer a science in the laboratories. It has become one of the biggest driving forces of the fourth industrial revolution. It will have a profound impact on how humans live, work, and shape our environment.” (More)

Dr. Fei Fei Li, Director of Stanford’s Artificial Intelligence Lab explores how AI will be a driver for our future. She discusses what AI technology is already being developed, the challenges scientists are still facing, and the potential consequences for every industry and almost every facet of our lives. (More)

http://stanford.io/1pkv9wv: Stanford University School of Engineering's Fei-Fei Li, an associate professor of computer science, presents an exploration into the visual intelligence in computers during Stanford Engineering's EngX: The Digital Sensory System conference. (More)

ICYMI, we've got highlights from Google Next '17 Day 1 Keynote in under 4 minutes including major announcements around machine learning and AI. Speakers included Sundar Pichai, Diane Greene, Fei-Fei Li and Eric Schmidt. Plus appearances from customers like SAP, HSBC, Home Depot & more. https://cloudnext.withgoogle.com/ (More)

Created by Joshua Gould, Prepared for the Digital Media Innovation (Summer 2018) course at Rutgers' School of Communication & Information as a part of the Graduate Program in Digital Media & Communication. (More)

Computational creativity—a subdomain of artificial intelligence concerned with systems that replicate or assist human creative endeavors—has been the  subject of academic inquiry for decades. Now, with recent improvements in machine learning techniques and the rising popularity of all things AI, computational creativity is a medium for critically and commercially successful works of art. From a 2016 Rembrandt to Jukedeck’s instant music (or muzak?), AI-assisted and AI-driven works are a reality. This raises mind-bending questions about the nature of creativity, the relationship between the artist and the viewer, even the existence of free will. For many lawyers, it also raises a more immediate question: who owns all of this art? (More)

In this live Q&A, computer scientist and musician Jesse Engel (from the Google Magenta team) answered questions about A.I., computational creativity, and computer-generated music. Watch the full World Science program COMPUTATIONAL CREATIVITY: AI AND THE ART OF INGENUITY here: https://www.worldsciencefestival.com/videos/computational-creativity-ai-art-ingenuity/ (More)

In this Smart Talk video series, Andrew Mazzone and Martin Ford discuss how automation will impact the economy in the future as well technology such as robotics and artificial intelligence will be affecting the job market growth. (More)

Oren Etzioni, Allen Institute for Artificial Intelligence, and Martin Ford, author of “Rise of the Robots: Technology and the Threat of a Jobless Future," weigh in on Microsoft Bill Gates' "robot tax" proposal as an effort to slow spread of automation.
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Martin Ford is a futurist focusing on the impact of artificial intelligence and robotics on society and the economy, and the author of two books: Rise of the Robots: Technology and the Threat of a Jobless Future (2015) and The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future (2009). Both books deal with the effects of automation and the potential for structural unemployment and dramatically increasing inequality. (More)

http://www.nytimes.com/2015/05/17/books/review/rise-of-the-robots-and-shadow-work.html
Martin Ford documents in “Rise of the Robots,” the job-eating maw of technology now threatens even the nimblest and most expensively educated. Lawyers, radiologists and software designers, among others, have seen their work evaporate to India or China. Tasks that would seem to require a distinctively human capacity for nuance are increasingly assigned to algorithms, like the ones currently being introduced to grade essays on college exams. Particularly terrifying to me, computer programs can now write clear, publishable articles, and, as Ford reports, Wired magazine quotes an expert’s prediction that within about a decade 90 percent of news articles will be computer-­generated.In his new book, Rise of the Robots, Ford considers the social and economic disruption that is likely to result when educated workers can no longer find employment. (More)

In this episode of The Rubin Report Dave Rubin talks to Martin Ford (Author and Futurist) about his thoughts on AI, deep learning, robots and algorithms. Additionally how they have the potential to increase poverty and income inequality around the world and Universal Basic Income as a possible safety net for these problems. And he'll discuss his bestselling books: ‘Rise of the Robots: Technology and the Threat of a Jobless Future’, and ' Architects of Intelligence: The truth about AI from the people building it'. **Support The Rubin Report: http://www.rubinreport.com/donate (More)

We were joined in London by Sir Dermot Turing who talked about his uncle, Alan Turing, and his new book Prof: Alan Turing Decoded. (More)

Information and subscription on http://www.usievents.com (More)