Consider Our Merchandise! ► http://bit.ly/Corridor_Store WATCH HOW WE MADE THIS (Amazing) ► https://www.youtube.com/watch?v=gCuG-KJacp8 The new robots at Boston Dynamics keep getting more and more sophisticated… Consider Subscribing ► http://bit.ly/subscribe_to_corridor Motion Capture Suit We Used ► http://bit.ly/Xsens_MoCap_Suit OUR PERFECT CAMERA SETUP ►https://bhpho.to/2FJpQmR FOLLOW US ► Instagram: http://bit.ly/_Corridor_Instagram Sub-Reddit: http://bit.ly/_Corridor_Sub-Reddit Twitter: http://bit.ly/_Corridor_Twitter SUPPORT US ► Patreon: http://bit.ly/_Corridor_Patreon_Support Merch: http://bit.ly/Corridor_Store DISCLAIMER ► This video is a comedic parody and is not in anyway associated with the actual Boston Dynamics Robotics Company.
Get your free trial and buy Luminar 4 here: https://macphun.evyy.net/c/2069361/645022/3255 Use the coupon code FSTOPPERS to get extra $10 off Original “Is Photography As We Know It Dying?”: https://youtu.be/VnAdW9xjGq8 It was bound to happen. Artificial Intelligence, often abbreviated as “Ai” has started to infiltrate the photography world. In the past, the only way to get great photos was for photographers to spend a ton of time out on location mastering the craft of photography. As demands for more surreal imagery increased, studio “trickery” was done in the darkroom with techniques such as dodging, burning, color processing, and even merging of multiple images. In the mid 90s, as computers became more and more powerful, photography entered into the digital era and photo manipulations became even more common and advanced. As photographers transitioned from film cameras to digital cameras, programs like Photoshop made editing images easier than ever. Today we are at a point where literally anything is possible with photography. This new era of digital photography now poses many new questions around one of the world’s most important art forms. At what point is photography even photography anymore? How much manipulation is too much manipulation? Does a photographer need to know how to edit photos in post production? With the release of Skylum’s newest photo editing software, Luminar 4, photographers have more tools than ever to create the “perfect” image. With the use of advanced algorithms and artificial intelligent editing, the line between reality and perfection can literally be altered with [More]
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When we think of AI, we often think of science fiction movies with humanoid robots. But what is AI really about, and how can we use it to help humans? Learn more at PwC.com – https://pwc.to/3dLCmSy
Professor Toby Walsh talks about artificial intelligence with Ian Woolf. Sound and facts checked by Charles Willock, Produced and hosted by Ian Woolf Join my patrons: https://www.patreon.com/diffusionradio Tip me: http://paypay.me/IanWoolf Show notes: http://www.diffusionradio.com/2018/02/autonomous_artificial_intellig.html Crypto donations: btc: 1AEnJC8r9apyXb2N31P1ScYJZUhqkYWdU2 eth: 0x45d2cd591ff7865af248a09dc908aec261168395
7 REAL TRANSFORMING VEHICLES YOU DON’T KNOW 7 Real Transforming Vehicles You Didn’t Know Existed 7 سيارات التحول الحقيقي كنت لا تعرف 7 РЕАЛЬНЫЕ ТРАНСФОРМАЦИОННЫЕ ТРАНСПОРТНЫЕ СРЕДСТВА, ВЫ НЕ ЗНАЕТЕ 7 VÉHICULES DE TRANSFORMATION RÉELLE VOUS NE SAIS PAS 7 WIRKLICHE TRANSFORMIERENDE FAHRZEUGE, DIE SIE NICHT WISSEN 7 VEHÍCULOS DE TRANSFORMACIÓN REAL QUE USTED NO SABE 7你不知道真正的改裝車 1. THE HUM RIDER http://www.theverge.com/2017/3/21/15009862/verizon-hum-rider-elevated-truck-hydraulics-pr-stunt 2. LETRONS BMW E92 http://www.letrons.com/index_eng.html Letrons Someone just made a real life Transformer out of a BMW and who knows what will happen next? 3. KORMARAN WATERCRAFT http://www.superyachts.com/news/the-kormaran-k7-the-transforming-luxury-craft-4188.htm 4. KLASSEN LIMOUSIN http://www.klassen-luxury.com/ http://www.klassen-luxury.com/mercedes—benz-viano.html http://www.klassen.de/ 5. ED 209 CAR https://www.youtube.com/watch?v=f0Nq10gjBbw&t=14s 6. WILD FENNEC DEFENDER http://www.wild-fennec.com/ wild fennec land rover defender transforms into living space in 43 seconds 7. BeauEr 3X http://www.beauer.fr/en/range/?lang=fr http://www.beauer.fr/en/?lang=fr SUBSCRIBE MY FRIEND CHANNEL lemino thousand words https://www.youtube.com/watch?v=pogPvBdMMrg More of LEMMiNO: http://www.youtube.com/LEMMiNOMusic http://www.soundcloud.com/LEMMiNO http://www.youtube.com/Top10Memes ALI – A —- https://www.youtube.com/user/Matroix KARIM —- https://www.youtube.com/user/AreWeFamousNow PEWDIEPIE —- https://www.youtube.com/user/PewDiePie We Are Promoting some hidden Works From less known People, We Promote Innovation and love For Technology Advancement CONTACT ME ON MY FACEBOOK PAGE https://www.facebook.com/top10informationssss/?fref=ts PLEASE DONATE US https://www.paypal.me/Top10info https://www.patreon.com/top10information FOLLOW TOP 10 INFORMATION Facebook Page:- MESSEGE ME https://www.facebook.com/top10informationssss/?fref=ts Google Plus:-https://plus.google.com/+TOP10INFORMATION10 Twitter:-https://twitter.com/TopTenInfor SUBSCRIBE:-https://goo.gl/F6pHMw tags 7 REAL TRANSFORMING VEHICLES YOU HAVE TO SEE, Transforming Vehicles, transforming car, transformer, transformers, BMW, letrons, Invention, Innovation, cars, robot car, real robot, education, car, vehicle, vehicles, electric, autobot, In, Real Life, Real Transformers, how to, toys, coolest, Flying Car, Robots, technology, tech, latest technology,real transformer car, bmw transformer car, transformers, transformer, bumblebee, videos for kids, kids video, [More]
This video explain why artificial intelligence is dangerous in hindi language and How AI will change the world find in new research going on robotics which encouraging scientist to develop robots with artificial intelligence.Their edge in humanity which is mostly explained in robotic movies like robot 2.0 and Terminator may happens in our real world. So watch full video because in this video I explained new edge of robotic and artificial intelligence with humanity on basis of new scientific research in hindi. AND PLEASE SUBSCRIBE MY CHANNEL ANSWER 4 MYSTERY Researchers design one of the strongest, lightest materials known http://news.mit.edu/2017/3-d-graphene-strongest-lightest-materials-0106 PLEASE WATCH :काले जादू की सच्ची कहानियां। मायोंग अघोरी और नाट। Mysteries of Black Magic https://www.youtube.com/watch?v=bzLG6bktORw PLEASE WATCH:वो निर्णय जिनने दुनिया बदल दाली। Critical decisions taken in history Hindi https://www.youtube.com/watch?v=qNY24btEIEk must watch Why did titanic sink down in hindi। वो निर्णय जिसने टाइटैनिक को डूबा दिया। Decision series part 1 https://www.youtube.com/watch?v=CeKaaB5sktQ WW3 से पहेले ही खत्म हो जायेगी दुनिया। Political conflict which end our world in hindi : https://www.youtube.com/watch?v=tM4PTvGgG3s
Moderated by Eric Horvitz, Managing Director, Microsoft Research Panelists: Fei-Fei Li, Associate Professor, Stanford University Michael Littman, Professor of Computer Science, Brown University Josh Tenenbaum, Professor, Massachusetts Institute of Technology Oren Etzioni, Chief Executive Officer, Allen Institute for Artificial Intelligence Christopher Bishop, Distinguished Scientist, Microsoft Research
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Full episode with Joscha Bach (Jun 2020): https://www.youtube.com/watch?v=P-2P3MSZrBM Clips channel (Lex Clips): https://www.youtube.com/lexclips Main channel (Lex Fridman): https://www.youtube.com/lexfridman (more links below) Podcast full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Podcasts clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 Podcast website: https://lexfridman.com/ai Podcast on Apple Podcasts (iTunes): https://apple.co/2lwqZIr Podcast on Spotify: https://spoti.fi/2nEwCF8 Podcast RSS: https://lexfridman.com/category/ai/feed/ Joscha Bach, VP of Research at the AI Foundation, previously doing research at MIT and Harvard. Joscha work explores the workings of the human mind, intelligence, consciousness, life on Earth, and the possibly-simulated fabric of our universe. Subscribe to this YouTube channel or connect on: – Twitter: https://twitter.com/lexfridman – LinkedIn: https://www.linkedin.com/in/lexfridman – Facebook: https://www.facebook.com/lexfridman – Instagram: https://www.instagram.com/lexfridman – Medium: https://medium.com/@lexfridman – Support on Patreon: https://www.patreon.com/lexfridman

Learning Deep Learning — Step 1

Finding a home for learning with Fast.ai

Courtesy of http://neuralnetworksanddeeplearning.com/chap5.html

In late 2017, I stumbled across Fast.ai while looking to understand and deploy artificial intelligence. To that point, my interaction with the subject consisted of either reading superficial articles that taught nothing of value or starting & not finishing well-intentioned deep dives into deep learning/neural network theory.

Fast.ai changed everything; Jeremy Howard, Rachel Thomas and the rest of the fast.ai team deserve so much credit for what they are doing.

Jeremy has encouraged students of his courses to write about their experiences. Benefits include

  • Proving that you truly understand something by writing it down
  • Connecting you with a burgeoning community of fast.ai and deep learning practitioners and enthusiasts
  • Creating a confidence loop that motivates you to keep learning more

Trending AI Articles:

1. Ten trends of Artificial Intelligence (AI) in 2019
2. Bursting the Jargon bubbles — Deep Learning
3. How Can We Improve the Quality of Our Data?
4. Machine Learning using Logistic Regression in Python with Code

This post is a high-level overview of my ongoing learning to date. I am excited for future posts where I plan to share more detailed work I have done!

Initial Foray and Learning to Code

I jumped into the course in late 2017, excited to learn everything about Deep Learning. I was quickly met with a rude awakening that delivered my first concrete lesson from fast.ai, a lesson Jeremy emphasizes at the beginning.

You need one year of coding experience, ideally in Python, as well as a very basic understanding of terminal commands and cloud computing

I didn’t have any real coding experience (aside from dabbling in SQL and R for data analysis) and also could not make heads or tails about GPUs, cloud platforms, and virtual machines. Given that I was doing this as a personal learning project balanced with work, family, and life, weeks dragged on as I struggled to even get a virtual machine set up on AWS.

At some point, I pulled the plug and decided to do this the right way. Over the next year, I committed to that year of learning to code. I tried many coding classes and honestly didn’t complete all of them. But I found a few that stuck (perhaps due to their teaching style) and I finished them. Those were

First Time Through the Course in the Fall of 2018

The effort was worth it. In the Fall of 2018, I sat down once again to attempt fast.ai. My investment in learning Python made a big difference. Also, the fast.ai team had revamped the course to be that much more user-friendly and approachable. I set up a virtual machine on Paperspace with relative ease and got through the course. However, completing the course led me to my second big lesson, something Jeremy and others also emphasize:

Most people taking the course should plan on listening to the lectures multiple times to really solidify your understanding.

I found it most useful to power through topics and sections that I didn’t initially understand as opposed to getting bogged down in them, This is a hard thing to do; when I found I didn’t understand something, my natural tendency was to figure it out right then. Once I overcame that tendency, I found learning more effective. I would finish a lesson and then go back to the topics I didn’t understand, often leveraging the incredible support of the fast.ai forums. Using this approach, I felt like the core concepts, things like learning rate, stochastic gradient descent, embeddings, data augmentation, and many more, started to come into focus.

Fast.ai — 2019 version

Entering 2019, I felt great about having completed the course. However, as I thought about next steps , including taking the advanced fast.ai course, I still felt unprepared. After some thought, the third core lesson emerged, yet again something Jeremy emphasizes:

Plan on doing a lot, not just listening. Pick a project, or a series of projects, and make them your own and do them from beginning to end. Get into the weeds and build things.

I had definitely done some of this in the 2018 go-around but realized that I didn’t do enough. I have now committed to doing the course a second time here in early 2019. When I logged back in, I was thrilled to discover that Jeremy and the team had completely revamped the course for 2019. They had taken it up several notches in usability and accessibility, including a much more robust guide for setting up your virtual machine with many options. This time I opted for Google Cloud Platform. Again, the prior learning and practice made using a new (for me) cloud service reasonably straightforward. And my comfort level with reading the documentation and looking for answers to things I didn’t know was that much better. For example, using vim to edit my .bash_profile file to ensure that my GCP Zone, Instance Name, and Instance Type were saved for use in my terminal was no longer a foreign concept.

That’s all for a first post on the topic. I expect to go very deep on the subject in the coming weeks and months. My next post will be discussing my first project, an image classifier for Gold, Silver, and Copper coins!

Don’t forget to give us your 👏 !

https://medium.com/media/c43026df6fee7cdb1aab8aaf916125ea/href

Learning Deep Learning — Step 1 was originally published in Becoming Human: Artificial Intelligence Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.

Can A.I. make music? Can it feel excitement and fear? Is it alive? Will.i.am and Mark Sagar push the limits of what a machine can do. How far is too far, and how much further can we go? The Age of A.I. is a 8 part documentary series hosted by Robert Downey Jr. covering the ways Artificial Intelligence, Machine Learning and Neural Networks will change the world. You choose — watch all episodes uninterrupted with YouTube Premium now, or wait to watch new episodes free with ads. Learn more at: https://support.google.com/youtube/answer/6358146 Check out YouTube Premium at: https://www.youtube.com/premium/originals See if Premium is available in your country at: https://support.google.com/youtube/answer/6307365
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Machine Learning helps you build models that can make predictions and take decisions of their own. This video on Types of Machine Learning and Algorithms will make you understand what Machine Learning is and the various types of Machine Learning. You will learn about Supervised, Unsupervised, and Reinforcement learning. You will know how they work and how to choose the right Machine Learning algorithm. Finally, we’ll implement a Machine Learning project/ hands-on demo using Python. 🔥Free Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=TypesofMachineLearning&utm_medium=Description&utm_source=youtube ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4 #TypesOfMachineLearning #MachineLearningAlgorithms #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #SimplilearnMachineLearning #MachineLearningCourse To learn more about this topic, visit: https://www.simplilearn.com/tutorials/machine-learning-tutorial/types-of-machine-learning?utm_campaign=TypesofMachineLearning&utm_medium=Description&utm_source=youtube About Simplilearn Machine Learning course: A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning. What skills will you learn from this Machine Learning course? By the end of this Machine Learning course, you will be able to: 1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling. 2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project. 3. Acquire thorough knowledge of [More]
Chief Strategy Officer at Mega AI has the potential to shake up the operating methods of companies. Enterprise architecture, which helps companies manage continuous transformation, has begun to integrate AI into a company’s architecture. Organizations can use elements of business architecture to identify the capabilities that could benefit from using artificial intelligence. In this session, Dan Hebda will share two perspectives for understanding how to leverage AI looking at the breadth of AI potential and the depth needed to reach business goals. With the identification of which technologies enable capabilities, organizations can identify opportunities for AI and build the future.
Short video on the history and evolution of ArtificiaI Intelligence (AI). For my previous video on “What is AI?” Please use the link below: https://youtu.be/nQKQ9bCcXXY
The full automated Toolchain from 360° Camera to simulation for digital twin generation The use of a digital twin in the production process will be used, for example, for proactive planning, analysis of existing systems or process-parallel monitoring. Many companies, especially small and medium-sized enterprises, use the technology incorrectly or not. From your point of view, the generation of a digital twin is cost-, time- and resource-intensive. With our approach, these obstacles can be overcome quickly and easily, and the production layout and production logic (e.g. machine types, etc.) can be captured with a 360° Camera. The identification of CAD models and the transfer of geometric and other object data (e.g. machine types) from a reference library significantly reduces the recording of production. With the recognized machines, their properties are also known. With the comparison of the future production program, any simulation of the production can be created. Especially in the planning phase for investments, well-founded results based on a simulation model are indispensable for a target-oriented decision in today’s world. In the presentation we will show you the procedure from scanning, object recognition to simulation and its challenges out of the way.
Google DeepMind is training its artificial intelligence software to detect early signs of eye diseases. It’s aimed at detecting two diseases — age-related macular degeneration and diabetic retinopathy. The latter can lead to blindness if not detected early. DeepMind is analyzing about 1 million eye scans to develop an algorithm that can catch early warning signs of the conditions.   “If you have an OCT scan done, a machine learning algorithm will be able to tell you if it’s urgent versus something that’s not so urgent. … It will allow us to get much earlier detection of the blinding disease,” said Dr. Pearse Keane. The company has caught flak from privacy critics in the past. It was using patient data to develop an app that identifies the risk of kidney failure. Some said it was allowed too much access to patient information.  But DeepMind says the eye scans were handed over without any identifying information about the patients they came from and are supposed to be completely anonymous.  The U.K.’s National Health Service and Moorfields Eye Hospital in London partnered with DeepMind to develop the machine learning system.  This video includes clips from Moorfields Eye Hospital and an image from Getty Images.  Newsy is your source for concise, unbiased video news and analysis covering the top stories from around the world. With persistent curiosity and no agenda, we strive to fuel meaningful conversations by highlighting multiple sides of every story. Newsy delivers the news and perspective you need without the hype and bias common to many news [More]