Fires burning across the Amazon rainforest have renewed the debate about solutions to climate change. Bill Gates is backing the first high-altitude experiment of one radical approach called solar geoengineering. It’s meant to mimic the effects of a giant volcanic eruption. Thousands of planes would fly at high altitudes, spraying millions of tons of particles around the planet to create a massive chemical cloud that would cool the surface. “Modeling studies have found that it could reduce the intensity of heat waves, for instance, apparently it could reduce the rate of sea level rise. It could reduce the intensity of tropical storms,” said Andy Parker, project director at the Solar Radiation Management Governance Initiative. The technology is not far from being ready and it’s affordable, but it could cause massive changes in regional weather patterns and eradicate blue sky. “These consequences might be horrific. They might involve things like mass famine, mass flooding, drought of kinds that will affect very large populations,” said Stephen Gardiner, author of “A Perfect Moral Storm: The Ethical Tragedy of Climate Change.” Watch the video to learn how it would work and hear the debate around the ethics and efficacy of solar geoengineering. » Subscribe to CNBC: https://cnb.cx/SubscribeCNBC » Subscribe to CNBC TV: https://cnb.cx/SubscribeCNBCtelevision » Subscribe to CNBC Classic: https://cnb.cx/SubscribeCNBCclassic About CNBC: From ‘Wall Street’ to ‘Main Street’ to award winning original documentaries and Reality TV series, CNBC has you covered. Experience special sneak peeks of your favorite shows, exclusive video and more. Connect with [More]
Explore how the Google ML ecosystem tools are used for state-of-the-art research. Speaker: Laurence Moroney (AI Advocate) Watch all Google’s Machine Learning Virtual Community Day sessions → https://goo.gle/mlcommunityday-all Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow #MLCommunityDay product: TensorFlow – General; event: ML Community Day 2021; fullname: Laurence Moroney; re_ty: Publish;
Virtual AHA | AHA Colloquium | June 8, 2021 Artificial Intelligence and Its Implications for the Present and Future of Historical Research Chair: R. Darrell Meadows, independent scholar and National Historical Publications and Records Commission Meredith Broussard, Arthur L. Carter Journalism Institute of New York University Kate Crawford, USC Annenberg Matthew Jones, Columbia University Benjamin Schmidt, New York University Joshua Sternfeld, independent scholar Lauren Tilton, University of Richmond Artificial intelligence systems (AI) touch nearly every facet of human activity. The prevalence of AI raises critical questions about how historians will study the contemporary era and mitigate distortion and bias while also harnessing its analytic potential. This roundtable considers the epistemological, methodological, and pedagogical implications of AI on historical practice. Panel sponsored by: National Endowment for the Humanities: https://www.neh.gov/ The Stanton Foundation: http://thestantonfoundation.org/ HISTORY®: https://www.history.com/ Oxford University Press: https://global.oup.com/ Become an AHA member: https://www.historians.org/join Donate to the AHA: https://www.historians.org/donate Visit the Virtual Exhibit Hall: https://www.historians.org/ExhibitHall Any views, findings, conclusions, or recommendations expressed in this forum do not necessarily represent those of the National Endowment for the Humanities.
This is a panel discussion was hosted by PhD Student Council at the University of Skovde. The event was sponsored by IPSI; an industrial research school. How AI has changed the research landscape in the last few decades? Where is the current trend leading to? What it takes a graduate student to contribute to the field? The main topics of the discussion are: Get a brief historical perspective of the research landscape (in connection to AI) in different fields. The scenario of the current research landscape, in view of funding, collaborations, and publications. Current trend’s pros-cons. For PhDs and young researchers, how to benefit, and what to be wary of? This event will be held in a panel discussion format. It is intended to be less of a presentation or interview and more of a discourse between the panelists. The panel consists of five researchers from the University of Skövde: Peter Anderberg who is a professor in Health Sciences and leads several research projects with focus on development of technology and services for older people. Amos H.C. Ng, a professor in Production and Automation Engineering. His current research interest lies in combining multi-disciplinary simulations and AI-based prescriptive analytics for supporting decision-making in manufacturing/service/health-care domains. Jörgen Hansson, professor in informatics, who´s research areas include safety-critical systems, software architecture, and dependability aspects. Nikolaos Kourentzes, professor in predictive analytics, researching various areas of time series modeling and business forecasting, using Artificial Intelligence, Econometrics, and Statistics. Jane Synnergren, associate professor in bioinformatics. Jane´s research [More]
April 13-14, 2021 – The NHGRI Genomic Data Science Working Group hosted Machine Learning in Genomics: Tools, Resources, Clinical Applications and Ethics. This virtual workshop highlights the opportunities and obstacles that occur when applying machine learning methods to basic genome sciences and genomic medicine. Workshop Agenda: https://www.genome.gov/event-calendar/Machine-Learning-in-Genomics-Tools-Resources-Clinical-Applications-and-Ethics ————— Welcome ————— Co-chairs: Trey Ideker, Ph.D., University of California San Diego Mark Craven, Ph.D., University of Wisconsin Speaker: Eric Green, M.D., Ph.D., Director, National Human Genome Research Institute ————– Keynote: ————– Moderator: Shannon McWeeney, Ph.D., Oregon Health and Sciences University Presenters: Eric Topol, M.D., Scripps Research Brad Malin, Ph.D., Vanderbilt University Medical Center Chapters: 0:00 – Start 0:09 – Welcome (Mark Craven) 0:52 – Welcome (Trey Ideker) 1:28 – Opening Remarks (Eric Green) 9:41 – Keynote Presentation (Eric Topol) 34:54 – Keynote Presentation (Brad Malin) 59:00 – Q&A Session with Shannon McWeeney, Eric Topol and Brad Malin
JAX is a Python package that combines a NumPy-like API with a set of powerful composable transformations for automatic differentiation, vectorization, parallelization, and JIT compilation. Your code can run on CPU, GPU or TPU. This talk will get you started accelerating your ML with JAX! Resources: JAX reference documentation → https://goo.gle/3BoqAIM Speaker: Jake VanderPlas (Software Engineer) Watch all Google’s Machine Learning Virtual Community Day sessions → https://goo.gle/mlcommunityday-all Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow #MLCommunityDay product: TensorFlow – General; event: ML Community Day 2021; fullname: Jake VanderPlas; re_ty: Publish;
Jeff Dean, Angelica Willis, and Jehron Petty will share their unique perspectives and experiences, the work they do now, and how they got to where they are today. We hope the conversation will give students an enhanced understanding of computer science and research, the impact they can have on society through these fields, and the many paths available to undergraduate students interested in a research career.
You might have seen Ben on Joe Rogan. https://goertzel.org/ | https://twitter.com/bengoertzel Richard is at https://twitter.com/RichardHeartWin http://Pumpamentals.com Claim free HEX tokens! The first high interest blockchain Certificate of Deposit (time deposit.) Get rich this bull market! Programmed to pump. Stake it till you make it! Richard Heart: Blockchain thought leader, cryptocurrency investor, author, serial entrepreneur, Bitcoin OG The Pumpamentals.com snapshot will occur December 2nd at the first Bitcoin block mined after 00:00:00 UTC. You must have access to the private keys to your Bitcoin address having a balance at that exact blockheight to be able to submit a claim after. If you have a normal or segwit bitcoin address, you are very likely to be eligible to claim. https://www.timeanddate.com/countdown/launch?iso=20191202T00&p0=1440&msg=HEX.win+Bitcoin+Snapshot&font=sanserif To read more about which addresses are eligible, please visit https://hex.win/techspecs.html. The HEX contract will be targeted for launch at 00:00:00 UTC the next day after the snapshot. You will have a day to gather up ETH and convert BTC into ETH to join the Adoption Amplifier on day 1. This way you can both FreeClaim and then transform the BTC to ETH to transform into HEX via the AA system. If you don’t already have BTC it’s very likely you will make much more HEX buying ETH to send to the AA system, than by buying BTC just to FreeClaim with it. The math is here: https://hex.win/adoption-amplifier.html Remember that stakers make more HEX the more people that free claim, so you might want to spread your 20% referral links that people [More]
AI is changing the way we interact with the world, forcing us to consider how we create AI-powered technology that is human-first and has positive ethical implications. Salesforce Research is committed to advancing the state of AI research by building intuitive, contextual, and conversational experiences that power the Salesforce products you know and love. Join Salesforce’s Chief Scientist Dr. Richard Socher and his team of AI experts as they introduce exciting new AI breakthroughs that promise to fundamentally change the way you work and improve the state of the world. #Salesforce #CRMMarketing #Richard Socher Subscribe to Salesforce: http://bit.ly/SalesforceSubscribe Learn more about Salesforce: Website: https://www.salesforce.com/ Facebook: https://www.facebook.com/salesforce/ Twitter: https://www.twitter.com/salesforce Instagram: https://www.instagram.com/salesforce/ LinkedIn: https://www.linkedin.com/company/salesforce/ About Salesforce: Salesforce is a customer relationship management solution that brings companies and customers together. It’s one integrated CRM platform that gives all your departments — including marketing, sales, commerce, and service — a single, shared view of every customer.
On this episode of the Strategy & Leadership Podcast, Dan Faggella joins us to discuss why leaders should care about artificial intelligence, how to manage the change around AI, the ROI of AI, and more. Dan Faggella is the Head of Research and CEO of Emerj Artificial Intelligence Research, as well as a Fellow at the Institute for Ethics and Emerging Technologies. Before joining Emerj, Dan was a black belt Brazilian jiu-jitsu fighter who competed internationally. 0:00 intro 1:10 about Dan and Emerj AI Research 2:27 why leaders should care about AI 5:08 how Emerj helps businesses with AI 8:02 managing the change of AI 18:12 the ROI of AI 27:36 Dan’s past in martial arts 31:16 where to learn more about Dan & his work: https://emerj.com/ Register for Dan’s webinar, Starting an AI Consulting Practice – 3 Critical Factors for Success: https://event.webinarjam.com/register/14/w8v97bp // Strategic planning & implementation resources: Free Workbook ► Get free workbook to guide you along the process: https://www.smestrategy.net/strategic-planning-process-template-workbook Course ► Learn how to successfully lead your next strategic planning process: https://www.smestrategy.net/strategic-planning-steps-course Free Events ► Check out our upcoming events: https://www.smestrategy.net/events Facilitator ► Are you looking for someone to facilitate your strategic planning process? https://www.smestrategy.net/strategic-planning-facilitator-consultant Track your plan ► Want software to track your strategic plan? Get a 90-day free trial of Cascade Strategy: http://www.smestrategy.net/cascade Blog ► https://www.smestrategy.net/blog Podcast ►https://www.smestrategy.net/podcast ‘Alignment’ Book ► https://www.smestrategy.net/alignment-book // Connect with us: Free Community ► Join our free community: https://strategy-and-leadership.mn.co/ Contact us ►https://www.smestrategy.net/contact Subscribe! ► https://www.youtube.com/channel/UCOHLNRrpk3rGUdg7qUQjiog/?sub_confirmation=1 // ABOUT SME STRATEGY CONSULTING: SME [More]
In this talk I will discuss recent trends and developments in deep learning research. I’ll then touch on the significant progress that this research has produced in a number of areas, including computer vision, language understanding, translation, healthcare, and robotics. These advances are driven by both new algorithmic approaches to some of these problems, and by the ability to scale computation for training ever large models on larger datasets. I’ll discuss both of these issues. Finally, one of the reasons for the rapid spread of the ideas and techniques of deep learning has been the availability of open source libraries such as TensorFlow. I’ll give an overview of why these software libraries have an important role in making the benefits of machine learning available throughout the world.
AI is changing the relationship between human and machine, forcing us to think about how we create AI-powered technology that is human-first and has positive ethical implications. Salesforce Research is committed to advancing the state of AI research by building intuitive, contextual, and conversational experiences that power the Salesforce products you know and love. Join Salesforce’s Chief Scientist Dr. Richard Socher and his team of researchers as they introduce exciting new AI breakthroughs that promise to fundamentally change the way you work. #Salesforce #AI #Scientist Subscribe to Salesforce: http://bit.ly/SalesforceSubscribe Learn more about Salesforce: Website: https://www.salesforce.com/ Facebook: https://www.facebook.com/salesforce/ Twitter: https://www.twitter.com/salesforce Instagram: https://www.instagram.com/salesforce/ LinkedIn: https://www.linkedin.com/company/salesforce/ About Salesforce: Salesforce is a customer relationship management solution that brings companies and customers together. It’s one integrated CRM platform that gives all your departments — including marketing, sales, commerce, and service — a single, shared view of every customer.
Prof. Rodney Brooks, MIT Robots and People; the Research Challenge (with English Subtitles) English Subtitles by Tan U-Xuan, Arif Rahman, Sherry Chen, Jing Xu, and Zhidong Wang (EPSB and CAB, IEEE Robotics and Automation Society)
Bill Dally, NVIDIA’s Chief Scientist and SVP of Research, explains how research coupled with technology continues to advance computing and double AI performance each year. Dally describes NVIDIA’s innovations in AI, graphics, HPC, healthcare, edge computing and autonomous machines. He also shares new research in the areas of AI inference, silicon photonics, and GPU cluster acceleration. After the keynote be sure to watch the panel of five senior NVIDIA executives describing how the company’s latest breakthroughs in AI, data science and healthcare are being adopted. 0:00 I AM AI Intro 3:12 GTC China 2020 Keynote with Bill Dally 1:09:35 GTC China 2020 NVIDIA Executive Panel
Artificial Intelligence is one of the fastest growing disciplines, disrupting many sectors. Originally mainly for computer scientists and engineers, it has been expanding its horizons and empowering many other disciplines contributing to the development of many novel applications in many sectors. These include medicine and health care, business and finance, psychology and neuroscience, physics and biology. However, one of the disciplines in which artificial intelligence has not yet been fully explored and exploited yes is education. In this discipline, many research methods are employed by scholars and lecturers to investigate the impact of different instructional approaches on learning and on the acquisition of skills and knowledge by learners. One of these methods is qualitative research, a scientific method grounded in observations that manipulates and analyses non-numerical data. It focuses on seeking answers to why and how a particular observed phenomenon occurs rather than on its occurrences. This study is aimed at exploring and discussing the impact of artificial intelligence on qualitative research methods in education. In particular, it focuses on how artificial intelligence can empower qualitative research methods, employed in education, for enhancing teaching and learning. Dr. Luca Longo is an Academic, National Teaching Hero, AI researcher and TEDx speaker who has a deep passion for science and has won various awards both for his research work and for his teaching. He is actively engaged in the dissemination of scientific material to the public as his TEDx talks demonstrate. With his team of doctoral and post-doctoral researchers, he conducts fundamental [More]
We invest heavily in machine learning to continually improve our member experience and optimize the Netflix service end-to-end. As researchers, we innovate using machine learning in many areas where we research, design, implement, evaluate, and productionalize models and algorithms through both offline experiments and online A/B testing.
DARPA: robots and technologies for the future management of advanced US research. DARPA military robots. DARPA battle robots. Military technologies DARPA. Battle robots of the future. Technologies of the future in the US Army. 0:00 Introduction 0:59 DARPA mission 1:31 Project ARPANET 2:12 First “smart machine” or robot 3:15 The first self-driving vehicles and the first Boston Dynamics robot 3:47 DARPA robot racing 4:24 First Boston Dynamics Big Dog four-legged robot 5:15 Energy Autonomous Tactical Robot Program 5:33 Engineering Living Materials Program 5:57 Spy Beetles – Hybrid Insect Micro-Electro-Mechanical Systems 6:45 Robot Worm – Project Underminer 7:11 DARPA – The Systems-Based Neurotechnology for Emerging Therapies 7:51 Robotic pilots with artificial intelligence 8:28 Artificial Intelligence Combat Air System – Air Combat Evolution 9:11 UNcrewed Long Range Ships – Sea Train 10:03 DARPA creates an intelligent robot swarm 10:44 Project OFFSET 11:10 Project Squad X 11:50 Battle of human robots on DARPA Robotics Challenge Defense Advanced Research Projects Agency, abbreviated DARPA, or the Office of Advanced Research Projects of the U.S. Department of Defense, was established in 1958, almost immediately after the launch of the USSR Sputnik-1. The realization that the Soviets were about to launch into space not only satellites, but also missiles, greatly cheered up the government of the United States. The result was the creation of a unique agency with a huge budget, which could be spent at its own discretion. Watch a selection of the most unexpected, strange and advanced projects in the field of technology and artificial [More]
Support the Channel: https://www.patreon.com/zachstar PayPal(one time donation): https://www.paypal.me/ZachStarYT Part 1: https://www.youtube.com/watch?v=JRHAM1nAuD4 Follow me on Instagram: https://www.instagram.com/zachstar/ Twitter: https://twitter.com/ImZachStar This video be in less depth than the previous but will cover a wider range of topics and research in artificial intelligence. Startups in artificial intelligence are becoming more and more popular (over 100 just in healthcare) and they are all working on a variety of projects. In this video I talk about large companies like google, facebook, and IBM and what projects they are working on in machine learning and other aspects of artificial intelligence. One of the biggest breakthroughs in machine learning was when AlphaGo beat the best human go player in the world 4 out of 5 games. AlphaGo is a project that was programmed simply to learn, it wasn’t given any strategy or told what to do. This win showed that a computer could learn how to beat a human in the most complex game out there. While a lot of this may seem really interesting, there is a lot of fear around A.I. as well in terms of what the future holds and where A.I. will go.
STEMerch Store: https://stemerch.com/Support the Channel: https://www.patreon.com/zachstar PayPal(one time donation): https://www.paypal.me/ZachStarYT Part 2: https://www.youtube.com/watch?v=Fh_OIk2ex_A Follow me on Instagram: https://www.instagram.com/zachstar/ Twitter: https://twitter.com/ImZachStar This video covers artificial intelligence, research being done in the field, what major to pick to get started, and a more detailed description on how machine learning works. Artificial intelligence is an increasingly fast growing field with more and more innovations coming up all the time. You can see artificial intelligence being used in finance, gaming, healthcare, self driving cars, email spam filtering, and much more. One of the big fields of artificial intelligence is machine learning. Machine learning is making software that is able to learn from past experiences. One example of this is AlphaGo which is an A.I. project made by deepmind that was able to beat the best go player in the world, in a game of go. AlphaGo wasn’t programmed with strategies though, it was just programmed to learn. Deep learning is often done through the use of neural networks which I talk about in this video using a simple example.
Daniel helps leaders in finance, government and global industries cut through the artificial intelligence hype, leverage proven best-practices, and make data-backed decisions about mission-critical priorities. In this episode, we cover: Strategies for using AI in business Practical examples of AI put to use in professional services How interviewing other experts helped grow his business And much more… https://emerj.com/ @danfaggella
Teaching Computers to See Dr. Fei-Fei Li is currently chief scientist of AI/ML at Google Cloud, associate professor in the computer science department at Stanford, and the director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. SATURDAY, APRIL 15, 2017 | NICHOLS HALL | UPPER SCHOOL CAMPUS
Ranveer Chandra from Microsoft Research gave the Day 2 Keynote address at the Machine Learning: Farm-to-Table workshop. Entitled “FarmBeats: AI & IoT for Data-Driven Agriculture”
World’s Top 50 Innovators 2019 Royal Society, 23-25 September Artificial Intelligence Session H. James Wilson, Managing Director IT and Business Research, Accenture Research Human+Machine: Reimagining Work in the Age of AI Codex Talk: What new kinds of jobs will AI create? #Top50Innovators #AI #Accenture #CodexTalks