In F8 developer conference 2017, Facebook launched the Facebook Spaces, the social virtual reality platform. Facebook is making the camera the first augmented reality platform. It goes all in VR/AR. 18 April 2017 marks the first day of F8 2017, Facebook’s annual event where developers come together to explore the future of technology. More than 4,000 people attended the event at the McEnery Convention Center in San Jose, California, and
Within our lifetime, computers will reach, and then exceed human intelligence. So what should we do about it? Embracing artificial intelligence might be the key to finding cures to currently incurable, unpreventable, and unstoppable diseases such as Alzheimer’s. Ben Ross explains why computers will inevitably beat brains, what possibilities exist for the application of artificial intelligence, and why we need to start preparing for super intelligent, artificial intelligence now. Ben
James Bedsole interviewed Dave Evans, Chief Futurist, Cisco, 1990-2014 and Founder/CTO of Stringify. The interview was performed February 15, 2017 in Silicon Valley. Dave is one of world’s top experts on the Internet-of-Things and on technology trends. Dave Evans is currently the co-founder and CTO of a Silicon Valley stealth startup. Previously he was the Chief Futurist for Cisco.
Future Breakthrough of Artificial Intelligence lies on the next generation of Brain-based chip design. “Every ten to twenty minutes today we produce the same amount of data we produced over the past one hundred years. In the next ten years we’ll produce that in five seconds,” says Henry Markram in this video for the World Economic Forum. Henry Markram, who is Professor of Neuroscience at Swiss Federal Institute of Technology
Dr.Michal Kosinski, Graduate School of Business, Stanford University, is explaining the effects of Artificial Intelligence at CeBIT Global Conferences. Through facial recognition and other behavioral data, Artificial Intelligence (AI) could tell if you are closeted gay and all your other little secrets. It means the end of privacy in the era of AI. Dr.Michal Kosinski is a psychologist and data scientist. His research focuses on studying humans through the lenses of
Think your business could make use of Google’s machine learning expertise when it comes to powering and improving your business applications, but do you get stuck on building and training your own custom model? Google Cloud Platform (GCP) offers five APIs: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. These APIs access pre-trained machine learning models with a single API
Deep learning is a machine learning technique that learns features and tasks directly from data. This data can include images, text, or sound. The video uses an example image recognition problem to illustrate how deep learning algorithms learn to classify input images into appropriate categories. Lastly, the video explores the three reasons why deep learning has surged in popularity over the last five years. Learn about the differences between deep
David Cox, Assistant Professor of Molecular and Cellular Biology and Computer Science at Harvard, explains how his lab is working with others to reverse engineer how brains learn, starting with rats. The fast-advancing fields of neuroscience and computer science are on a collision course. By shedding light on what our machine learning algorithms are currently missing, this work promises to improve the capabilities of robots – with implications for jobs,
1.Superintelligence: Paths, Dangers, Strategies: Nick Bostrom 2.Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence: Jerry Kaplan 3.Artificial Intelligence: A Modern Approach (AIMA): Stuart J. Russell and Peter Norvig 4.Our Final Invention: Artificial Intelligence and the End of the Human Era: James Barrat 5.Surviving AI: The Promise and Peril of Artificial Intelligence: Calum Chace 6.Gödel, Escher, Bach: Douglas Hofstadter 7.Heartificial Intelligence: John C.
Best introduction to Machine Learning with practical examples and moving away from jargon.. Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. “It was machine learning that enabled AlphaGo to whip itself into world-champion-beating shape by playing against itself millions of times” — Demis Hassabis, Founder