Check out the Springboard Data Analytics Career Track: https://springboard.thld.co/forrestknight Let’s take a look at the very first artificial intelligence program I ever coded from back in 2017 when I was a college student. It was my very first program in my Artificial Intelligence course. The Sudoku Solver: https://github.com/ForrestKnight/SudokuSolver 🐱‍🚀 GitHub: https://github.com/forrestknight 🐦 Twitter: https://www.twitter.com/forrestpknight 📸 Instagram: https://www.instagram.com/forrestpknight ⚓ First Supply Coffee: https://bit.ly/firstsupplycoffee 👨‍💻 My Coding Gear: https://bit.ly/my-coding-gear 📓 Learning Resources: My Favorite Machine Learning Course: https://bit.ly/coursera-forrest My Favorite Python Machine Learning Course: https://bit.ly/codecademy-forrest Open Source Computer Science Degree: https://bit.ly/open-source-forrest Solid for Coding Interviews (use code “forrest”): https://bit.ly/algoexpert-forrest Udacity to Learn Any Coding Skill: http://bit.ly/udacity-forrest 🔧Coding Tools: The Best Linux Server Hosting: https://bit.ly/linode-forrest
Screening and Panel Discussion on Coded Bias Film, March 29 ACM’s Technology Policy Council and Diversity and Inclusion Council sponsored a free screening and public discussion of the film “Coded Bias” and how those in computer science fields can address issues of algorithmic fairness. The discussion occured on Monday, March 29, 2021 from 2:30-4:00 pm EDT (8:30pm CEST). PANELISTS: Dame Prof. Wendy Hall, Regius Professor of Computer Science, University of Southampton Hon. Bernice Donald, Federal Judge U.S. Court of Appeals for the Sixth Circuit Prof. Latanya Sweeney, Daniel Paul Professor of Government & Technology, Harvard University Prof. Ricardo Baeza-Yates, Research Professor, Institute for Experiential AI, Northeastern University MODERATOR: Prof. Jeanna Matthews, Professor of Computer Science, Clarkson University SPONSORS: ACM Technology Policy Council ACM Diversity & Inclusion Council National Science Foundation ADVANCE Grant Clarkson Open Source Institute (COSI), Clarkson University https://www.acm.org/diversity-inclusion/from-coded-bias-to-algorithmic-fairness
A self-driving car has a split second to decide whether to turn into oncoming traffic or hit a child who has lost control of her bicycle. An autonomous drone needs to decide whether to risk the lives of busload of civilians or lose a long-sought terrorist. How does a machine make an ethical decision? Can it “learn” to choose in situations that would strain human decision making? Can morality be programmed? We will tackle these questions and more as the leading AI experts, roboticists, neuroscientists, and legal experts debate the ethics and morality of thinking machines. This program is part of the Big Ideas Series, made possible with support from the John Templeton Foundation. Subscribe to our YouTube Channel for all the latest from WSF. Visit our Website: http://www.worldsciencefestival.com/ Like us on Facebook: https://www.facebook.com/worldsciencefestival Follow us on twitter: https://twitter.com/WorldSciFest Original Program Date: June 4, 2016 MODERATOR: Bill Blakemore PARTICIPANTS: Fernando Diaz, Colonel Linell Letendre, Gary Marcus, Matthias Scheutz, Wendell Wallach Can Life and Death Decisions Be Coded? 00:00 Siri… What is the meaning of life? 1:49 Participant introductions 4:01 Asimov’s Three Laws of Robotics 6:22 In 1966 ELIZA was one of the first artificial intelligence systems. 10:20 What is ALPHAGO? 15:43 TAY Tweets the first AI twitter bot. 19:25 Can you test learning Systems? 26:31 Robots and automatic reasoning demonstration 30:31 How do driverless cars work? 39:32 What is the trolley problem? 49:00 What is autonomy in military terms? 56:40 Are landmines the first automated weapon? 1:10:30 Defining how artificial [More]
Check out my courses and become more creative! https://developedbyed.com/ Microphones I Use Audio-Technica AT2020 – https://geni.us/Re78 (Amazon) Deity V-Mic D3 Pro – https://geni.us/y0HjQbz (Amazon) BEHRINGER Audio Interface – https://geni.us/AcbCpd9 (Amazon) Camera Gear Fujifilm X-T3 – https://geni.us/7IM1 (Amazon) Fujinon XF18-55mmF2.8-4 – https://geni.us/sztaN (Amazon) PC Specs Kingston SQ500S37/480G 480GB – https://geni.us/s7HWm (Amazon) Gigabyte GeForce RTX 2070 – https://geni.us/uRw71gN (Amazon) AMD Ryzen 7 2700X – https://geni.us/NaBSC (Amazon) Corsair Vengeance LPX 16GB – https://geni.us/JDqK1KK (Amazon) ASRock B450M PRO4 – https://geni.us/YAtI (Amazon) DeepCool ATX Mid Tower – https://geni.us/U8xJY (Amazon) Dell Ultrasharp U2718Q 27-Inch 4K – https://geni.us/kXHE (Amazon) Dell Ultra Sharp LED-Lit Monitor 25 2k – https://geni.us/bilekX (Amazon) Logitech G305 – https://geni.us/PIjyn (Amazon) Logitech MX Keys Advanced – https://geni.us/YBsCVX0 (Amazon) DISCLAIMERS: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites. So I was messing around with voice recognition in the browser and I taught it would be quite fun to make an episode about it. Disclaimer: This is not a super advanced AI like googles or Siri, it’s just me literally messing around with some code. I used google chrome with a few new apis that are available for us to mess around with in javascript, one of them being the speech synthesis api. ❤Become a patreon for exclusive videos and more! https://www.patreon.com/dev_ed 🛴 Follow me on: Twitter: https://twitter.com/deved94 Instagram: https://www.instagram.com/developedbyed/ Github: https://github.com/DevEdwin 🎵 Music: Outro: LAKEY INSPIRED – Me 2 (Feat. Julian [More]