In this video, we’re going to discuss how to create a Stock Trend Prediction Web Application in Python. Here we will use Streamlit, an open-source Python library, that makes it easy to build beautiful custom web apps for Machine Learning and Data Science. Get Python Tutorials For Free [] Apply For Video Internship Program – Our courses: This video is contributed by Akshit Madan. Please Like, Comment, and Share the Video with your friends. #python #stockprediction #pythonprojects #projects #machinelearning #streamlit Install our Android App: If you wish, translate into the local language and help us reach millions of other geeks: Follow us on our Social Media Handles – Twitter- LinkedIn- Facebook- Instagram- Reddit- Telegram- Also, Subscribe if you haven’t already! 🙂
Smart speakers are all the rage these days, with both Alexa-powered and Google Assistant-powered speakers taking over the market. But what if you want the best of both worlds? Well, you build your very own smart speaker. At least that’s what we did. Yes, in this video, we show you how to build a smart speaker with Google Assistant and Alexa. Here’s our detailed article on the same: GitHub Project Source: Things You Need: Raspberry Pi Model B RASP-PI-3 Motherboard: Official Raspberry Pi 3 Case: Portronics Dome Portable Bluetooth Speaker with Mic: Amkette FUH341 Highspeed USB 2.0 4 Port Hub: Singtronics Super Mini USB 2.0 Audio Adapter: Links: Raspberry Pi NOOBS package: Create Amazon Developer Account: Create Google Developer Account: Enable Assistant API: README file located at /home/pi/Assistants-Pi Commands: git clone sudo chmod +x /home/pi/Assistants-Pi/ sudo chmod +x /home/pi/Assistants-Pi/ sudo chmod +x /home/pi/Assistants-Pi/ sudo /home/pi/Assistants-Pi/ sudo /home/pi/Assistants-Pi/ sudo /home/pi/Assistants-Pi/ Check out our video gear here: Follow us on: Facebook: Twitter: Instagram:
In this video, I react to Sam Harris discussing the possibility of losing control over artificial intelligence. He argues that we need to be very careful about how we build AI, and that we need to make sure that we always have a way to shut it down if necessary. Artificial General Intelligence (AGI) and Superintelligent AI might be something we have to address in the near future. The video: 00:00 – Sam Harris’ TED Talk on the dangers of super intelligent AI 00:47 – The dangers of artificial intelligence 01:28 – The Emotional Response to AI 02:11 – The Dangers of Technology 02:52 – The inevitability of continued innovation 03:42 – The point of no return for intelligent machines 04:20 – The intelligence explosion 05:05 – The reality of stepping over them 05:52 – The thought of this is valuable 06:36 – The impossibility of containing a superintelligence 07:24 – The inevitability of building general intelligence into machines 8:07 – The value of intelligence 08:51 – The Train of Artificial Intelligence 09:35 – The summit of intelligence 10:18 – The spectrum of intelligence 11:07 – The speed of a superintelligence 11:48 – The risks of superintelligence 12:28 – The end of human work 13:04 – The Inequality of a Machine-Dominated World 13:45 – The geopolitical implications of super intelligent AI 14:32 – The risks of a superintelligence 15:14 – The Reassuring Argument that AI is a Long Way Off 15:54 – The non-sequitur of referencing the time horizon [More]
こちらもおすすめです。 CGS
Keynote by Jeff Dean at AI NEXTCon Silicon Valley
Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris — and not just in some theoretical way. We’re going to build superhuman machines, says Harris, but we haven’t yet grappled with the problems associated with creating something that may treat us the way we treat ants.
Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris — and not just in some theoretical way. We’re going to build superhuman machines, says Harris, but we haven’t yet grappled with the problems associated with creating something that may treat us the way we treat ants.
Max Tegmark, professor and AI expert at MIT, talks about how we can build artificial intelligence that empowers instead of overpowering us. This is a keynote from The Internet Days 2018 in Stockholm, Sweden
Why to build AGI if it is an existential threat for all of us? There will be 5 reasons why we need to build Artificial General Intelligence as soon as possible and regardless of the threat. Contents of this video: 0:00 | Introduction 0:27 | Reason 1 – Technological singularity 2:37 | Reason 2 – Great filter 5:13 Reason 3 – Keep intelligence through generations 6:50 Reason 4 – We stick to one planet 7:11 Reason 5 – There is no way research in the AI field can be forbidden 7:46 Bonus reason 9:05 Question of the week 9:24 Next episode – Can we build True AI? LINKS: Artificial general intelligence: Reason 1 – Technological singularity: Technological singularity: Cat and the lunch box: Reason 2 – Great filter: Great filter: Doomsday argument: Drake equation: Fermi paradox: Anthropic principle: Gray goo: Warp drive: Gros Michel banana: Reason 3 – Keep intelligence through generations: Hayflick limit: Telomere: DNA: Chromosome: Reason 4 – We stick to one planet: Kardashev scale: Reason 5 – There is no way research in the AI field can be forbidden: Zugzwang: Bonus: Existential crisis: Images used: Raphael Perrino, CC BY 2.0 [], via Wikimedia Commons Department of Energy. Office of Public Affairs, Public domain, via Wikimedia Commons Zephyris, CC BY-SA 3.0 [], via Wikimedia Commons
This video talks about what you need to know when sourcing parts to build your own deep learning machine similar Lambda Labs Workstation. What type of CPU do you need? or What GPU is good for your use case. How much RAM? This video breaks it all down. Outline: 00:01:30 – GPU 00:03:59 – CPU 00:05:38 – RAM 00:06:21 – Motherboard 00:06:55 – Storage 00:07:44 – Power Supply 00:08:19 – Cooling 00:08:51- Case 00:09:15 – Parts Compatibility 00:10:01 – Training on Cloud vs Your Own Machine Reference: parts list: Audo Studio | Automagically Make Audio Recordings Studio Quality Magic Mic | Join waitlist and get it FREE forever when launched! 🎙️ Audo AI | Audio Background Noise Removal Developer API and SDK Lambda Labs Discord Server: Join a community of A.I. Hackers Subscribe to my email newsletter for updated Content. No spam 🙅‍♂️ only gold 🥇.
Join me live as we walk through a step by step (hands-on lab) process of building chat bots using Power Virtual Agents in Microsoft Teams. The chat bot will provide the user status information of their Help Desk ticket. We will be calling Power Automate flows from Power Virtual Agents chat bots to check the ticket status. We will be leveraging Power Virtual Agents with Microsoft Dataverse for Teams. I will answer your questions live during the session. Microsoft Dataverse for Teams delivers a built-in low code data platform for Microsoft Teams, and provides relational data storage, rich data types, enterprise grade governance, and one-click solution deployment. In this live session, we will learn how to build chat bots, call flow from chat bot to query Dataverse Tables, return rich text from flow to bot & more. 📢 Q&A Rules: 👉 I will open the floor for live Q/A at end of session. 👉 Put “Q:” in front of your comments and post your question. 👉 Please do not re-post your questions. 👉 I will try to answer as many questions as possible. 👉 If you SPAM your question/comments, you will be put in timeout. #PowerVirtualAgents #MicrosoftTeams #Dataverse #Live #RezaDorrani
Update: Sorry all, the website links provided had been temporarily recalled by the developers. Let me check any other way I could get the software/commands through any other means. I’m extremely sorry for the issue. Hopefully, the new link should work Updated Link: List of some Jarvis related Files: Regards, Mr Magneto __________________________________________________________________________________________ Hi Everyone, In this Episode, We are going to build/configure J.A.R.V.I.S, a personal voice assistant for your Windows Computer. Make sure that your microphone is working properly and follow the steps. Your are free to configure it in your own way. Please comment it here if you find it difficult to configure. Thanks for Watching my Video In case the Below links are not working, Try using a VPN Mega Voice Commands/Jarvis download- MVC Forum – MVC Commands - Thank You Audio Library for introducing me to these BGMs Intro Music –––––––––––––––––––––––––––––– Mythology by MusicbyAden Creative Commons — Attribution-ShareAlike 3.0 Unported — CC BY-SA 3.0 Free Download / Stream: Music promoted by Audio Library –––––––––––––––––––––––––––––– Explanation Music ––––––––––––––––––––––––––––––––––––– Acoustic/Folk Instrumental by Hyde – Free Instrumentals Creative Commons — Attribution 3.0 Unported— CC BY 3.0 Free Download / Stream:… Music promoted by Audio Library _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Contact Me Email – Insta ID – @mrmagneto_cybertechz
I’m going to show you the entire process I used to conceive, design, and build the prototype for a healthcare startup business! This app is called “Macy”, your personal Yoga Instructor. It uses a machine learning model called PoseNet to detect human poses and overlay a skeleton stick figure on top. I retrained posenet on labeled Yoga poses images so it could detect when a person correctly performs a certain pose, then i used speech generation to have the Flutter app guide your actions from pose to pose, just as a real Yoga instructor would do. The goal is to help a user reduce stress, anxiety, and depression through a series of guide meditative poses. I’ve integrated a subscription service and some interesting design schemes, but the app isn’t finished! There is still more to do. The point is to give you the starting template to start your own profitable business. Enjoy! Code for this video (and presentation): Please Subscribe! And like. And comment. That’s what keeps me going. Want more education? Connect with me here: Twitter: Facebook: instagram: Here is the rest of this series, where I build startups for every industry: Make Money with Tensorflow 2.0: How to Make Money with Tensorflow: 7 Ways to Make Money with Machine Learning: Join us in the Wizards Slack channel: Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams! Join [More]
Huge thanks to David Vandegrift for letting us conduct this interview. Be sure to check out our other interviews/blogs and 4Degrees at:
Amazing talk. My brain juices are extremely excited and a tad concerned by this video. 10/10 Link to original TED Talk video: Can we build AI without losing control over it? | Sam Harris Thoughts? Video suggestions? We are just about to go into another lock down, so I’ve got plenty of time up my sleeve currently.
This is Interpreted from the following TedTalk: Schedule: Tuesdays and Thursdays: Ted Talks Goals: Improve my interpreting skills Receive constructive criticism to grow further in my depiction of music and theatrical performances This is not for my own fame This is not to get Deaf attention This is not for the hearing world to fetishize the skill of hearing interpreters Legal notice: I do not own the music played in these videos, I am interpreting the music as best I can to make this transformative (under legal definition )
This question – may already be a moot point: “Can we build AI without losing control over it?” We have – and No we cannot…
Want to build your own peer-to-peer video chat app? WebRTC is a technology that creates a realtime connection between browsers where users can exchange audio/video streams 00:00 WebRTC Explained 02:01 Build your own Video Chat 3:37 Code setup 04:34 Peer Connection & Webcam 06:49 Offer Signaling 09:45 Answer Signaling Source Code Useful Resources WebRTC Docs Codelab Signaling #webdev #js #100SecondsOfCode Install the quiz app 🤓 iOS Android Upgrade to Fireship PRO at Use code lORhwXd2 for 25% off your first payment. My VS Code Theme – Atom One Dark – vscode-icons – Fira Code Font
As a research scientist at Google, Margaret Mitchell helps develop computers that can communicate about what they see and understand. She tells a cautionary tale about the gaps, blind spots and biases we subconsciously encode into AI — and asks us to consider what the technology we create today will mean for tomorrow. “All that we see now is a snapshot in the evolution of artificial intelligence,” Mitchell says. “If we want AI to evolve in a way that helps humans, then we need to define the goals and strategies that enable that path now.” Check out more TED Talks: The TED Talks channel features the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Follow TED on Twitter: Like TED on Facebook: Subscribe to our channel: