More and more new applications for the improving Artificial Intelligence Models are coming out at an increasing rate. The newest AI models made by Google’s Deepmind took on the challenge on creating the most advanced and accurate weather prediction AI ever made. Deepmind is focused on creating the best, smartest and most intelligent next generation AI in their path to an Artificial General Intelligence. Predicting when it’s going to rain or how the wind and weather will be in the next days has always been a difficult problem. But this AI that anyone can use will surely change the weather industry and even society. It even allows us to change and control the weather. —– Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity. If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! 🙂 —– TIMESTAMPS: 00:00 Deepmind’s Next Big Project 02:21 How does this weather AI work? 04:28 Is this the future of weather? 06:09 Is it really so revolutionary? 07:20 Changing the weather 08:04 Last Words —– #deepmind #ai #agi
The Schwartz Reisman weekly seminar series welcomes Joanna J. Bryson, professor of ethics and technology at the Hertie School in Berlin. She is a globally recognized leader in intelligence broadly, including AI policy and AI ethics. Bryson’s present research focuses on the impact of technology on economies and human cooperation, transparency for and through AI systems, interference in democratic regulation, the future of labour, society, and digital governance more broadly. Her work has appeared in venues ranging from a reddit to Science. As of July 2020, Bryson is one of nine experts nominated by Germany to the Global Partnership for Artificial Intelligence (GPAI). Visit her blog Adventures in NI for more on her work in natural and artificial intelligence. You can find her recommended readings from her blog below under, additional readings. Talk title: “Bias, Trust, and Doing Good: Scientific Explorations of Topics in AI Ethics” Abstract: This talk takes a scientific look at the cultural phenomena behind the #tags many people associate with AI ethics and regulation. I will introduce the concept of public goods, show how these relate to sustainability, and then provide a quick review of three recent results concerning: – What trust is, where it comes from, what it’s for, and how AI might alter it; – Where bias in language comes from, what it’s for, and whether AI might and should be used to alter it; – Where polarization comes from, what it was for historically, and how we should deal with it in the [More]
What’s actually happening to a neural network as it learns? Next chapter: Help fund future projects: An equally valuable form of support is to simply share some of the videos. Special thanks to these supporters: And by CrowdFlower: Home page: The following video is sort of an appendix to this one. The main goal with the follow-on video is to show the connection between the visual walkthrough here, and the representation of these “nudges” in terms of partial derivatives that you will find when reading about backpropagation in other resources, like Michael Nielsen’s book or Chis Olah’s blog. Video timeline: 0:00 – Introduction 0:23 – Recap 3:07 – Intuitive walkthrough example 9:33 – Stochastic gradient descent 12:28 – Final words
AI – everyone is talking about it but who is actually doing it (and generating business results). This session takes an industry by industry perspective on true AI adoption disambiguating the hype from the reality, the theoretical from the practical and the research labs from ROI. This presentation provides: Showcase companies getting actual real value from leveraging artificial intelligence and discuss ideas around how any company, from SMB to enterprise, can use artificial intelligence within their own business and industry. See examples of AI working in the real world featuring the following industries: – eCommerce/Retail – Robotics and IoT – Agriculture Technology – Education Do You Like This Video? Share Your Thoughts in Comments Below Also, You can visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops Details Here: #DataScience #AI #AIBusiness #ODSC