In this video I explain the difference between AI and ML and how both can be used in business to solve real world problems. If you would like more information on this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, Artificial Intelligence & Machine Learning. Visit the Artificial Intelligence & Machine Learning topic page: https://bernardmarr.com/default.asp?contentID=1314 Thanks for watching!
It’s easy to get robotic process automation (RPA), machine learning (ML), and artificial intelligence (AI) mixed up—especially when people use them interchangeably. It can be confusing to differentiate between the three when they’re flying around in conversation, but they’re not as mystical as they seem: You use them every day when you ask Alexa to set a timer, listen to your recommended songs on Spotify, or break down and order those footie pajamas that Amazon has been recommending you to buy for the last two weeks (just me, or…?). Continue reading→ https://www.knowledgelake.com/blog/whats-the-difference-between-rpa-ml-ai/
Difference between face detection and facial recognition Technology in Hindi !! face detection !! my new website https://yfmshoppingguide.com In our industry, the terms face detection and face recognition are sometimes used interchangeably. But there are actually some key differences. To help clear things up, let’s take a look at the term face detection and how it differs from the term face recognition. WHAT IS FACE DETECTION? The definition of face detection refers to computer technology that is able to identify the presence of people’s faces within digital images. In order to work, face detection applications use machine learning and formulas known as algorithms to detecting human faces within larger images. These larger images might contain numerous objects that aren’t faces such as landscapes, buildings and other parts of humans (e.g. legs, shoulders and arms). Face detection is a broader term than face recognition. Face detection just means that a system is able to identify that there is a human face present in an image or video. Face detection has several applications, only one of which is facial recognition. Face detection can also be used to auto focus cameras. And it can be used to count how many people have entered a particular area. It can even be used for marketing purposes. For example, advertisements can be displayed the moment a face is recognized. HOW FACE DETECTION WORKS While the process is somewhat complex, face detection algorithms often begin by searching for human eyes. Eyes constitute what is known as a valley [More]
Can you tell the difference between AI and a human?, with Michael Wooldridge Subscribe to Big Think on YouTube ►► https://www.youtube.com/c/bigthink/videos Up next ►► Walter Isaacson on Alan Turing, Intelligent Machines and “The Imitation Game” https://youtu.be/rz_99PBycSo The limits to computing are the limits to your imagination. Yet when computers first made their debut, the general public was taken back by its capabilities when it came to mathematics and computing. People started to ask ‘Are machines really intelligent?” Fed up with this question and disbelief in computing, one of the first serious thinkers of AI, Alan Turing, decided to create a machine to get the public to stop asking if computers are intelligent or not. This was called the Turing test. While using this machine during a Turing test, a person would type out a question on a computer, and either a human or machine would answer back. If a machine could fool the user into thinking there was a human on the other side of the screen, Turing wanted those users to accept that the machine was doing something intelligent. Although now there are Turing test competitions worldwide, Alan Turing never expected anyone to actually take this test or use this technology. Read the video transcript: https://bigthink.com/videos/turing-test/ ———————————————————————————- About Michael Wooldridge: Michael Wooldridge is a professor of Computer Science and Head of the Department of Computer Science at the University of Oxford. Since earning his Ph.D. in AI, he has published more than 350 scientific articles on the subject. Mike [More]
Anki Cozmo, A Fun, Educational Toy Robot for Kids Price: $179.00 Color: Cozmo (Red & White) Cozmo is a real-life robot like you’ve only seen in the movies and he’s ready to be your loyal sidekick Challenge Cozmo to games or use Explorer Mode to see things from his perspective With a beginner-friendly interface, Cozmo is the perfect educational robot for kids and adults to learn to creatively code Easier than you’d think and tougher than he looks, this toy robot is tested for durability and security Cozmo by Anki requirements: a compatible iOS or Android device and the free Cozmo app Includes 1 Cozmo robot, 3 Cubes, and 1 charger (USB power adapter not included) Vector Robot by Anki Price: $219.99 Vector is a companion made to hang out and help out. Powered by ai and advanced robotics, he’s alive with personality and engaged by sight, sound, and touch. Vector is voice-activated and will answer questions, take photos for you, time dinner, show you the weather, and more. Voice features are currently English language only. If you choose to set up Alexa on your vector, you’ll be able to: set reminders, control smart home devices like lights, speakers, and thermostats, and so much more. Vector can independently navigate and self-charge. He recognizes people and avoids obstacles. Vector is an updating platform, Cloud connected via Wi-Fi so he’s always learning and updating with new skills and features. Requirements: a compatible iOS or Android device and the free vector app for [More]
Data Science and Artificial Intelligence, are the two most important technologies in the world today. While Data Science makes use of Artificial Intelligence in its operations, it does not completely represent AI. In this article, we will understand the concept of Data Science vs Artificial Intelligence. Furthermore, we will discuss how researchers around the world are shaping modern Artificial Intelligence. What is Data Science? Data Science is the current reigning technology that has conquered industries around the world. It has brought about a fourth industrial revolution in the world today. This a result of the contribution by the massive explosion in data and the growing need of the industries to rely on data to create better products. We have become a part of a data-driven society. Data has become a dire need for industries that need data to make careful decisions. What is Artificial Intelligence? Artificial Intelligence is the intelligence that is possessed by the machines. It is modeled after the natural intelligence that is possessed by animals and humans. Artificial Intelligence makes the use of algorithms to perform autonomous actions. These autonomous actions are similar to the ones performed in the past which were successful. How is Artificial Intelligence Different from Data Science? Let’s start exploring Data Science vs Artificial Intelligence through the below points – 1. Constraints of Contemporary AI Artificial Intelligence and Data Science can use interchangeably. But there are certain differences between the two fields. The contemporary AI used in the world today is the ‘Artificial [More]
Technology is growing with each day and its growing speed is something we have never seen before. We didn’t know what smartphones were two decades ago but now, they’ve become almost a part of our bodies. A big majority of people have become daily users of social media platforms and similar sites which have been around for decades. Technology’s impact on our daily lives has been quick and powerful, but how do you think its impact on our professional lives will be? Engineers’ professional lives always involve technology, and the latest developments in the artificial intelligence area can change the engineering concepts radically. Robotics and engineering go hand in hand, and the future of AI has the potential to make human life easier and safer than ever before. According to Elon Musk, Tesla’s Autopilot feature can help in reducing highway accidents thanks to its intelligent engineering. Also, founders and CEOs of big technology corporations such as Bill Gates, Sundar Pichai, and Tim Cook have also stated the importance and potential of artificial intelligence for humankind. Artificial intelligence can help us find new solutions to our engineering problems and make our tasks easier to tackle. Technological developments have been quick and efficient for the past decades and it seems that this snowball effect has not reached its full potential yet. Artificial intelligence holds great opportunities for tomorrow’s engineers, and if you want to learn more about the subject, be sure to watch our video! Find out more information at https://bit.ly/3bSTzei #engineering
Elon Musk: Computers are much smarter than humans on so many dimensions. Jack Ma: Computers may be clever, but human beings are much smarter. We invented the computer—I’ve never seen a computer invent a human being. TICTOC ON SOCIAL: Follow TicToc on Twitter: https://twitter.com/tictoc Like TicToc on Facebook: https://www.facebook.com/tictoc Follow TicToc on Instagram: https://www.instagram.com/tictoc Watch all of TicToc’s videos: https://www.tictoc.video/ Listen to TicToc’s podcast: https://apple.co/2D3Vta7 Subscribe to our newsletter: https://bit.ly/2FJ0oQZ TicToc by Bloomberg is global news for the life you lead. We are a 24/7 news network that covers breaking news, politics, technology, business and entertainment stories from around the globe, supported by a network of Bloomberg’s 2,700 journalists across 120 countries.
Join us on 27th at 4pm to know what differentiates Human Intelligence from Artificial Intelligence (AI). Buy Makerboard:- https://www.avishkaar.cc/products/avishkaar-maker-board Avishkaar for Education:- https://www.facebook.com/groups/avishkaarforeducation Let’s Avishkaar:- https://www.facebook.com/groups/letsavishkaar All official social media for avishkaar:- @AvishkaarEdu Avishkaar Website:- https://www.avishkaar.cc/
This is a short excerpt from my recent virtual keynote for LinkedIn Latam June 22, 2020, see https://www.youtube.com/watch?v=dB5vOk_-KEg and https://gerd.io/linkedinlatam (my blog) for more details and downloads Gerd Leonhard Futurist, Author and Keynote Speaker Zürich / Switzerland http://www.futuristgerd.com http://www.techvshuman.com (my latest book) Audio-only versions of most videos are available via SoundCloud https://soundcloud.com/gleonhard/tracks, and Spotify see https://gerd.fm/spotify Many of my films, keynotes. presentations and slideshows can be downloaded via http://www.gerd.cloud My key memes and messages can be browsed here: https://www.futuristgerd.com/media/what-gerd-says/ For booking inquiries please go here https://www.futuristgerd.com/contact/booking-inquiry/ If you enjoy my videos and talks, please take a look at my recent book “Technology vs Humanity” http://www.techvshuman.com or buy it via Amazon http://gerd.fm/globalTVHamazon – the book is available in 12 languages. Twitter: @gleonhard
With all of the recent development in AI, a lot of people are wondering if they will be eventually replaced by computers. How realistic is such a scenario? As we discuss in our article, there are some areas where machines are competitive, but humans simply cannot be replaced. Find out more in the article: https://skywell.software/blog/artificial-intelligence-vs-human-intelligence/ #AI #artificialintelligence #AIvsHuman
There’s a discussion going on about the topic we are covering today: what’s the difference between AI and machine learning and deep learning. (Get our free list of the worlds best AI newsletters right here 👉 https://hubs.ly/H0dL3qz0) Very frequently, press coverage and even practitioners of analytics use the terms Artificial Intelligence and Machine Learning interchangeably. Disregarding the difference between AI and machine learning and deep learning. However, these three concepts do not represent the same. In this video, we are going to break this down for you, giving you examples of use cases making the difference between ai and machine learning and deep learning more clear. Any device that perceives its environment and takes actions to maximize its chances of success, can be said to have some kind of artificial intelligence, more frequently referred to as A.I. More specifically, when a machine has “cognitive” capabilities, such as problem solving and learning by example it is usually associated with A.I. Artificial Intelligence has three different levels: Narrow AI: when a computer can perform one task much better than a human; this is where we stand nowadays. 2. General AI: when a machine can successfully perform any given intellectual task that a human being can too 3. Strong AI: when machines can beat humans in many of tasks. Machine Learning is a subset of AI. This is what most applications of AI in business rely on currently. Want to know more about how businesses are applying AI? Watch this video, in which [More]