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Dave Rubin of The Rubin Report talks to Martin Ford (Author and Futurist) about about his thoughts on Universal Basic Income and the need for a new safety net, his view that poverty and income inequality will worsen around the world with the growth of AI and machine learning, what the future will look like in 10 years, and more. Watch Dave Rubin’s full interview with Martin Ford here: https://www.youtube.com/watch?v=zP9berDdpu0&list=PLEbhOtC9klbDzksGrbLATckXU5BkQrQP0&index=15&t=0s What is the future of tech? What effect is all the innovation coming out of silicon valley having on us? Is it inevitable that machine intelligence will eliminate a vast majority of our jobs? Is it even possible to know what future tech will look like? Watch these experts describe the cutting edge in new tech, but also what we can expect in the future and the effect it will have on you in this playlist: https://www.youtube.com/playlist?list=PLEbhOtC9klbDzksGrbLATckXU5BkQrQP0 To make sure you never miss a single Rubin Report video, click here to subscribe: https://www.youtube.com/channel/UCJdKr0Bgd_5saZYqLCa9mng?sub_confirmation=1 Looking for smart and honest conversations about current events, political news and the culture war? Want to increase your critical thinking by listening to different perspectives on a variety of topics? If so, then you’re in the right place because on The Rubin Report Dave Rubin engages the ideas of some of society’s most interesting thought leaders, authors, politicians and comedians. The Rubin Report is the largest talk show about free speech and big ideas on YouTube. Dave allows his guests to speak their minds and his [More]
I created this video with the YouTube Video Editor (https://www.youtube.com/editor)
Natural Language Processing (NLP) using NLTK and Python to perform basic text analytics such as Word and Sentense Tokenizing, Parts of Speech POS tagging, extracting Named Entities Video covers: Word and Sentense Tokenizer, Parts of Speech POS tokenizer, Named Entities
This video explains the basic algorithms used in implementing a P2P network. The theory covered here is based on the popular P2P network algorithsm Chord, Kademlia and Tapestry. For more details, see my P2P tutorial: http://tutorials.jenkov.com/p2p/index.html
If you’re interested in licensing this or any other Big Think clip for commercial or private use, contact our licensing partner Executive Interviews: https://www.executiveinterviews.biz/rightsholders/bigthink/ Read more at BigThink.com: http://bigthink.com/videos/joscha-bach-how-ai-will-reinvent-money-jobs-and-civics Follow Big Think here: YouTube: http://goo.gl/CPTsV5 Facebook: https://www.facebook.com/BigThinkdotcom Twitter: https://twitter.com/bigthink Joscha Bach: I think the question of whether we should be afraid of strong A.I. taking over and squashing us like bugs because it doesn’t need us for the things that it’s doing is exactly the same question as if we should be afraid of big corporations taking over and squashing us like bugs. Because big corporations are already agents: they are already intelligent agents in some sense. They’re not sentient. They borrow humans right now for their decision making. But they do have goals of their own that are different from the goals of the humans that they employ. They usually live longer. They’re much more powerful than people. And it’s very hard for a person to do anything against a corporation. Usually if you want to fight a corporation you have to become some major organization or corporation or nation state yourself. So in some sense the agency of an A.I. is going to be the agency of the system that builds it, that employs it. And of course most of the A.I.s that we are going to build will not be little Roombas that clean your floors, but it’s going to be very intelligent systems—corporations, for instance—that will perform exactly according to the logic of these systems. So [More]
Sarah Jenna Ph.D. is a Professor in Genomics at the University of Quebec in Montreal and CEO and co-Founder of My Intelligent Machines, a company developing an artificial intelligence-powered platform to help life-scientists find, share and analyse their omic data. Sarah Jenna is a Professor in Genomics at the University of Quebec in Montreal (UQAM) and CEO and co-Founder of My Intelligent Machines (MIMs; www.mims.ai), a company developing artificial Intelligence-powered platform to help life-scientists find, share and analyse their omic (genomic, proteomic, metabolomic…) data. She received her Ph.D. degree in cell biology and microbiology in 1998 from the University Aix-Marseille in France. She was a post-doctoral fellow at McGill University in cell signaling, genomics and proteomics. The research program she carries out in her laboratory (http://jennasarah.wixsite.com/jennaslab), develops novel integrative genomic strategies to better understand functional interactions between genes and the plasticity of signaling programs controlling epithelial morphogenesis in nematodes and humans. She is one of the rare woman scientists with a university position becoming CEO of a high-technology company. 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