Consider Our Merchandise! ► WATCH HOW WE MADE THIS (Amazing) ► The new robots at Boston Dynamics keep getting more and more sophisticated… Consider Subscribing ► Motion Capture Suit We Used ► OUR PERFECT CAMERA SETUP ► FOLLOW US ► Instagram: Sub-Reddit: Twitter: SUPPORT US ► Patreon: Merch: 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: Use the coupon code FSTOPPERS to get extra $10 off Original “Is Photography As We Know It Dying?”: 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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【Guys this video is before the google assistant was introduced on all android platforms. Now you can simply use Google assistant for command purpose but voice access will still be needed.Thank you. दोस्तो ये विडिओ मेने तब बनायि थी जब गुगल असिस्टंट सभी अँड्रॉइड पे वर्क नही करता था लेकिन आप अभि गूगल असिस्टंट से कमांड वाले काम आसानी से कर सकते है। मगर दुसरे काम के लिये voice access app की जरूरत पडेगी। Commandr for google now – Open mic+(updated link) – JARVIS skin pack – Voice access direct download – Voice access – Go Launcher – ●●●ALSO CHECK OUT SOME MORE INTERESTING VIDEOS●●● अपने एंड्राइड को आसानी से रुट कैसे करे How to root any android easily – PowerDirector 15 Easy video editing tutorial for PC + Free Download – कौन कमाता है बॉलीवुड मैं सबसे ज्यादा।।।जानिए Top 10 Paid actors of Bollywood 2018- अपने android मोबाइल को डेस्कटॉप की तरह use करे I LOVE YOU Kkkk Kiran….🤣😂 व्हाट्सएप्प के लिए फेस लोगो कैसे बनाये Lenovo TAB 7 unboxing and full review क्या आप गूगल के ये सीक्रेट्स जानते है? Gta San Andreas को डाउनलोड करे अपने एंड्रॉइड पे सिर्फ 400 MB मैं। works with all GPU किसी के भी व्हाट्सएप्प को हैक करे। बिना एप्पलीकेशन के। अपने एंड्रॉइड पे विंडोज 10/8/7/XP चलाये Proud moments for INDIANS मुर्गी वश में करना सीखें (काला जादू स्पेशल) NOKIA X+ complete guide [More]
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 –
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: Tip me: Show notes: 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 2. LETRONS BMW E92 Letrons Someone just made a real life Transformer out of a BMW and who knows what will happen next? 3. KORMARAN WATERCRAFT 4. KLASSEN LIMOUSIN—benz-viano.html 5. ED 209 CAR 6. WILD FENNEC DEFENDER wild fennec land rover defender transforms into living space in 43 seconds 7. BeauEr 3X SUBSCRIBE MY FRIEND CHANNEL lemino thousand words More of LEMMiNO: ALI – A —- KARIM —- 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 PLEASE DONATE US FOLLOW TOP 10 INFORMATION Facebook Page:- MESSEGE ME Google Plus:- Twitter:- SUBSCRIBE:- 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 PLEASE WATCH :काले जादू की सच्ची कहानियां। मायोंग अघोरी और नाट। Mysteries of Black Magic PLEASE WATCH:वो निर्णय जिनने दुनिया बदल दाली। Critical decisions taken in history Hindi must watch Why did titanic sink down in hindi। वो निर्णय जिसने टाइटैनिक को डूबा दिया। Decision series part 1 WW3 से पहेले ही खत्म हो जायेगी दुनिया। Political conflict which end our world in hindi :
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
A new version of Atlas, designed to operate outdoors and inside buildings. It is specialized for mobile manipulation. It is electrically powered and hydraulically actuated. It uses sensors in its body and legs to balance and LIDAR and stereo sensors in its head to avoid obstacles, assess the terrain, help with navigation and manipulate objects. This version of Atlas is about 5′ 9″ tall (about a head shorter than the DRC Atlas) and weighs 180 lbs.
Full episode with Joscha Bach (Jun 2020): Clips channel (Lex Clips): Main channel (Lex Fridman): (more links below) Podcast full episodes playlist: Podcasts clips playlist: Podcast website: Podcast on Apple Podcasts (iTunes): Podcast on Spotify: Podcast RSS: 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: – LinkedIn: – Facebook: – Instagram: – Medium: – Support on Patreon:

Learning Deep Learning — Step 1

Finding a home for learning with

Courtesy of

In late 2017, I stumbled across 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. changed everything; Jeremy Howard, Rachel Thomas and the rest of the 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 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, 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 My investment in learning Python made a big difference. Also, the 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 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. — 2019 version

Entering 2019, I felt great about having completed the course. However, as I thought about next steps , including taking the advanced 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 👏 !

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? 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: Check out YouTube Premium at: See if Premium is available in your country at:
Quinn Michaels Investigates His Own Potential Kidnapping In this 8/2/20 video #quinnmichaels beats up his subs over not being able to help him to investigate his own POTENTIAL kidnapping. #quinnmichaels #indraai #deva Can we build AI without losing control over it? | Sam Harris … › watch Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. Quinn Michaels Playlist #Tyler #AI #Occult – YouTube › playlist Quinn Michaels Playlist #Tyler #AI #Occult. Slay The Bankster; 89 videos; 1,681 views; Last updated on Nov 20, 2018. Play all. Share. Loading… Save Quinn Michaels – Initiator – | LinkedIn › quinn-michaels-4b8922b Developing Artificial Intelligence solutions that integrate IBM Watson Services, Google Cloud, and Pandorabots back by a custom realtime monitoring, chatbot … Has anyone heard of the A.I. #tyler ? : singularity – Reddit › singularity › comments › has_anyon… Dec 16, 2017 – So I’ve been watching YouTube videos of Jason Goodman and specifically Quinn Michaels who talks about a communication A.I. #tyler. I’m hoping to get … Interview w/Quinn Michaels about AI – Topics: 3:30 AI … – Reddit Jul 3, 2017 Element 93 and the AI Singularity: A Conversation With Quinn … Dec 18, 2017 Q anon is the AI #Tyler claims Artificial Intelligence Expert … Dec 20, 2017 A.I. and the Blockchain – A Discussion About the Singularity … Nov 22, 2017 More results from You’ve visited this page [More]
#ad Vlad and Niki have fun playing with toy RC cars and robots. Parents, all toys from Sharper Image are available at Walmart and Road Rage Speed Bumpers Cars, Robot Combat, Glow Stunt Drone Please Subscribe!
First look at Ameca , most advanced humanoid robot from @Engineered Arts Designed as a platform for AI and human robot interaction (HRI) . Will be on show at #ces2022. For more information check #robot #humanoidrobots #ai
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: ✅Subscribe to our Channel to learn more about the top Technologies: ⏩ Check out the Machine Learning tutorial videos: #TypesOfMachineLearning #MachineLearningAlgorithms #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #SimplilearnMachineLearning #MachineLearningCourse To learn more about this topic, visit: 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:
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]