Scott Phoenix, cofounder of Vicarious, believes artificial intelligence could one day cure cancer, create new forms of energy, and solve virtually every problem that humans simply can’t. Subscribe: With the support of investors like Jeff Bezos and Mark Zuckerberg, Vicarious is striving to bring about a future with AI in our lifetimes. Can AI solve our biggest problems? Let us know what you think the future holds for AI, labor and jobs in the comments. For more stories profiling pioneers of science and tech innovation, subscribe to Freethink at Join the Freethink forum to share news and find more ways to make a difference: And follow Freethink across other platforms here: Facebook: Twitter: Instagram: Website:
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A robotics researcher afraid of robots, Peter Haas, invites us into his world of understand where the threats of robots and artificial intelligence lie. Before we get to Sci-Fi robot death machines, there’s something right in front of us we need to confront – ourselves. Peter is the Associate Director of the Brown University Humanity Centered Robotics Initiative. He was the Co-Founder and COO of XactSense, a UAV manufacturer working on LIDAR mapping and autonomous navigation. Prior to XactSense, Peter founded AIDG – a small hardware enterprise accelerator in emerging markets. Peter received both TED and Echoing Green fellowships. He has been a speaker at TED Global, The World Bank, Harvard University and other venues. He holds a Philosophy B.A. from Yale. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at
There are many ways Glass can help simplify your life. And one of those daily chores is Grocery shopping. Either from the grocery store or right in your home, Glass, Cloud and Catchoom’s Image Recognition come together to make the perfect application of Glass in your every day life. Either from the grocery store – shop, scan, leave and your products get delivered to your home — or directly from your kitchen. This video shows how easy it is to grocery shop with Glass from your kitchen. Scan the product you need to replace, put it in your shopping cart, pay, check out and schedule delivery right from you kitchen. Glass, powered by Catchoom Glass SDK, puts your life right at your fingertips. Learn more about CraftAR Image Recognition:
Artificial intelligence (AI) is changing how businesses operate at a fundamental level. In this session, we cover how AI is changing the work of the manager and what the future of organizations and competition will look like. We will discuss concrete examples from human resources and finance. We will also introduce the new “Artificial Intelligence and the Future of Management Initiative at IESE” and how IESE is working to help you prepare for what is coming.
Artificial intelligence is constantly improving, but will it ever be sentient? Will AI ever pass human intelligence? Is Artificial Intelligence the Next Phase of Human Evolution? – Why You Shouldn’t Fear Artificial Intelligence – Sign Up For The Seeker Newsletter Here – Read More: A computer just passed the Turing Test in a landmark trial “‘Passing,’ however, doesn’t mean it did it with flying colors. For a computer to pass the test, it must only dupe 30 percent of the human interrogators who converse with the computer for five minutes in a text conversation. In the test, it’s up to the humans to separate the machines from their fellow sentient beings throughout their five-minute inquisition.” The AI Revolution: How Far Away Are Our Robot Overlords? “Advances are getting bigger and bigger and happening more and more quickly… Kurzweil suggests that the progress of the entire 20th century would have been achieved in only 20 years at the rate of advancement in the year 2000-in other words, by 2000, the rate of progress was five times faster than the average rate of progress during the 20th century.” Facebook’s Facial Recognition Software Is Different From the FBI’s. “They argue that when someone tags you in a photo on Facebook without your consent, Facebook is breaking the law – and a federal judge has allowed the case to proceed. Facebook is hardly the only facial recognition technology that exists, but this company in particular is being challenged [More]
On 29 March 2019 at the UOC, during the meeting of the EADTU Artificial Intelligence Task Force, we took the chance to interview Wayne Holmes. The result is a conversation with Guillem Garcia Brustenga, Director of Trend Detection and Analysis at the eLearn Center. At this meeting in the UOC’s 22 @ building, Artificial Intelligence, personal assistants and the university of the future were discussed. Dr. Holmes is a lecturer specializing in Education and Innovation Sciences at the Institute of Educational Technology at The Open University, where he conducts research on Artificial Intelligence in Education. His research focuses on the application of Artificial Intelligence in Education (AIED), how it can improve learning, and how we can ensure that its application is socially and ethically responsible. ESP La Universidad del Futuro. Inteligencia Artificial en la Educación El 29 de marzo de 2019 en la UOC, en el marco de la reunión de la Task Force de Inteligencia Artificial de EADTU, se aprovechó la presencia de Wayne Holmes, para hacer y grabar una conversación con Guillem Garcia Brustenga, Director de Detección y Análisis de Tendencias del eLearn Center. En este encuentro en el edificio del 22 @ de la UOC, hablaron de Inteligencia Artificial, asistentes personales y la universidad del futuro. El Dr. Holmes es profesor especializado en Ciencias de la Educación e Innovación, en el Institute of Educational Technology en The Open University, donde investiga sobre Inteligencia Artificial en Educación. Su investigación está centrada en la aplicación de la Inteligencia Artificial [More]
Is AI the new “electricity”? Find out what one of the most influential leaders in Artificial Intelligence and deep learning has to say about our future. Behind the Tech’s Kevin Scott talks with Andrew Ng about the Google Brain project, Coursera, Baidu and Ng’s most recent project, You won’t want to miss this episode! Subscribe to Microsoft on YouTube here: Follow us on social: LinkedIn: Twitter: Facebook: Instagram: For more about Microsoft, our technology, and our mission, visit
What are the disruptive trends in Real estate?, How technology is disrupting the real estate industry. What are the most disruptive technologies? Which industries are being disrupted? How Technology is Disrupting the Real Estate Industry What is Digital Transformation of the Real Estate Industry? Is real estate a growing industry? What is the future of real estate commissions? What is the future of real estate agents? The real estate industry is entering a period of digital transformation and no one is asking Is Real Estate Still a Good Career? You’re going to have to prepare for this change driven by elastic cloud computing, big data, Artificial Intelligence, and The Internet of Things. In this video I’ll paint you a picture of what buying and selling a home will look like within three to five years. If you want to Survive and Thrive read these books: Required Reading for Entrepreneur Training The Accidental Super Power by Peter Zeihan: The Big Nine by Amy Webb: Supercharge Your Real Estate Sales by Kerry: Digital Transformation, Survive and Thrive in an Era of Mass Extinction by Thomas M Siebel: Transcribe your Videos to Copy at REV: Get your Free copy of each of my client letters at: httsp:// Get your dedicated website from Real Geeks at: This is the video equipment that I use, follow these links to find it on Amazon. MOVO PR-2PM Professional Smartphone Video microphone and mount kit. %54.95 PoP voice 196” Single Head [More]
Find here Most Disruptive HR Tech Trends in 2019
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Rachel Thomas is a deep learning researcher, she is the cofounder of which created the “Practical Deep Learning for Coders” course that over 100,000 students have taken. In her talk she explain why Artificial Intelligence should be accessible to all of us, even without a math background. Rachel was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Her writing about AI and has been read by over half a million people and has been translated into Chinese, Spanish, Korean, & Portuguese. Co-Founder and Researcher at USF. Mathematician, Deep Learning researcher, bringing and teaching Deep Learning to the mainstream. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at
Artificial Intelligence (AI) technology poses serious ethical risks to individuals and society. Cansu Canca, Philosopher and AI Ethics Lab’s Founder & Director, explains how we can deal with these risks more effectively if we approach them as puzzles and solve them using tools from applied philosophy. Learn more at Cansu Canca is a philosopher and the founder and director of the AI Ethics Lab. She leads teams of computer scientists, philosophers, and legal scholars to provide ethics analysis and guidance to researchers and practitioners. She holds a Ph.D. in philosophy from the National University of Singapore specializing in applied ethics. Her area of work is in the ethics of technology and population-level bioethics with an interest in policy questions. Prior to the AI Ethics Lab, she was a lecturer at the University of Hong Kong, and a researcher at the Harvard Law School, Harvard School of Public Health, Harvard Medical School, Osaka University, and the World Health Organization. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at
Machine Learning, Big Data, Data Science & Analytics are the buzzwords of our generation. A career on these fields is considered to be very lucrative. In this video you will know what the great business leader of our times Elon Musk, Jack Ma, Bill Gates, Sunder Pichai have to say on career on these fields. ANalytics Study Pack : Analytics University on Twitter : Analytics University on Facebook : Logistic Regression in R: Logistic Regression in SAS: Logistic Regression Theory: Time Series Theory : Time ARIMA Model in R : Survival Model : Data Science Career : Machine Learning : Data Science Case Study : Big Data & Hadoop & Spark:
Learn from experts how to succeed with AI and automation. Watch the full recording of UiPath Live! See Robotic Process Automation (RPA) in action with this end-to-end invoice automated workflow powered by UiPath. Watch the robot performing the following actions: – monitoring and reading invoices in a PDF format, – extracting key information, – opening and filling in invoice details in SAP, – sending email notifications, as well as other background activities. Discover more about what #RPA can do for your #Finance & Accounting department - 🚀Join our community for more updates: Blog – LinkedIn – Twitter – Facebook – Connect! – #automate #invoiceprocessing
What are the emerging topics and potential societal benefits of artificial intelligence? Steve Eglash, executive director of the Stanford AI Lab, and event co-chairs Russ Altman, professor of bioengineering, genetics, medicine and computer science, and Fei-Fei Li, associate professor of computer science, open the 2016 Global Entrepreneurship Summit partner event, “The Future of Artificial Intelligence.” The event was hosted by the White House Office of Science and Technology Policy at Stanford University on June 23, 2016. Watch the remaining videos on this playlist to hear from the following people: • Megan Smith • Fei-Fei Li • Daniela Rus • Anshul Kundaje • Chris Manning • Yoav Shoham • Stefano Ermon • John Duchi • Chris Re • Arvind Krishna
This video contains python implementation of Realtime Face Emotion Recognition 1) Brainstorming (background of facial emotion recognition) (i)Challenges in FER 2013 dataset 2) OpenCV for drawing rectangles and overlaying text data 3) Face emotion recognition using DeepFace library 4) Live Video demo using OpenCV + DeepFace for Webcam
Lecture 2 formalizes the problem of image classification. We discuss the inherent difficulties of image classification, and introduce data-driven approaches. We discuss two simple data-driven image classification algorithms: K-Nearest Neighbors and Linear Classifiers, and introduce the concepts of hyperparameters and cross-validation. Keywords: Image classification, K-Nearest Neighbor, distance metrics, hyperparameters, cross-validation, linear classifiers Slides: ————————————————————————————– Convolutional Neural Networks for Visual Recognition Instructors: Fei-Fei Li: Justin Johnson: Serena Yeung: Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision. Website: For additional learning opportunities please visit:
Pattie Maes argues that we have become cyborgs: we have become inseparable from our phones and other devices and increasingly rely on them for many aspects of our daily lives. She continues that the way we interact with these devices today is far from ideal resulting in loss of attention, frequent multitasking and short attention spans. The solution according to Maes is to embrace the fact that we are cyborgs but at the same time radically redesign the whole human machine interaction so that our devices become a more seamless extension of ourselves that augments us and assists us in becoming the person we want to be. Pattie Maes is the a Professor at the MIT Media Lab and head of the Program in Media Arts and Sciences. She directs the Media Lab’s Fluid Interfaces group which researches new interfaces and experiences for human-machine interaction. Prior to joining the Media Lab, Maes was a visiting professor and a research scientist at the MIT Artificial Intelligence Lab. She holds bachelor’s and PhD degrees in computer science from the Vrije Universiteit Brussel in Belgium. Her areas of expertise are human-computer interaction and artificial intelligence. Maes is the editor of three books, and is an editorial board member and reviewer for numerous professional journals and conferences. She has received several awards: FastCompany named her one of 50 most influential designers (2011). Newsweek magazine named her one of the “100 Americans to watch for” in the year 2000; TIME Digital selected her as a [More]
Sherry Ruan Stanford University In the well-known two sigma problem introduced in 1984, Bloom found that students tutored by a one-on-one expert tutor achieved a learning outcome two standard deviations higher than those taught using traditional classroom methods. Since one-on-one tutoring is too costly to scale up to the majority of students, technology-based solutions have been suggested as promising solutions to simulate one-on-one human tutoring experiences. However, current automated computer-based tutors still primarily consist of learning activities with limited interactivity such as multiple-choice questions, review-and-flip flash cards, and listen-and-repeat practices. These tutors tend to be unengaging and thus their effectiveness typically relies on students’ desire to learn. With recent advances in artificial intelligence (AI), we now have the potential to create conversation-based tutoring systems with the ability to provide personalized feedback to make learning more engaging and effective and eventually help bridge the gap between one-on-one human tutoring and computer-based tutoring. In this dissertation, I present the design, development, and testing of four AI-based conversational tutoring systems that personalize learning for adults and children. For adult learning, I present two systems: QuizBot for helping college students learn factual knowledge and EnglishBot for tutoring second language learners in speaking English. For child learning, I present two systems embedding conversational tutors into narrative stories to supplement elementary school students’ math learning: the first implemented using Wizard-of-Oz techniques and the second powered by online reinforcement learning algorithms. I conducted human evaluations with over 500 students using these tutoring systems to better understand how [More]
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Max Tegmark professor of physics och cosmology, Harry Shum, executive vice president of Microsoft’s Technology and Research group, Stuart Russell, professor in computer science, Barbara Grosz, professor in Natural Sciences & Michael Levitt, Nobel Prize winner in Chemistry 2013. Held during the Nobel Week 2015,
Future Digital Twin 2021 Panel Discussion: How to achieve maximum value from the Digital Twin when implementing Machine Learning, Machine Vision and AI – The future of the Digital Twin – Adopting Machine learning to revolutionise the current model – The role of cognitive artificial intelligence – Human v Machine and Physical understandings v Mathematical insights – How AI intelligence plays a central role and maintaining Digital Twin Integrity – Best practices for reducing Digital Twin project risks – Lessons learned in the product lifecycle Speakers: Andrea Course, Venture Principle, Shell Julian Zec, Senior Program Manager Optimisation, Maersk Drilling Michiel Van Haersma Buma, VP of Customer Success, Akselos Debasis Bisoi, VP President Manufacturing, Digital and IoT Solutions, Tech Mahindra Dr. Robello Samuel, Chief Technology Advisor and Technology Fellow, (Well Engineering, Automation and Science, Halliburton Moderator: David Hartell, Managing Director, Stellae Energy Ltd