Mercado Vial TV en la Expo Bauma 2016 (Alemania) te mostramos el Sistema de Control Inteligente de Maquinaria de Komatsu, en este caso aplicada a una Excavadora PC210 LCi – Basicamente se carga el diseño de la obra en la pantalla, y con un sistema medición inteligente 3D y un GPS totalmente integrado en el equipo, la máquina controla la posición del balde respecto de la máquina y del terreno automáticamente! el Operador solo tiene que seguir excavando o rellenando hasta el nivel que se indique en la pantalla de la máquina, previamente definido por los planos de obra pre-cargados. Más información sobre este sistema aquí: Seguinos en Facebook: Suscríbete a nuestro canal en Youtube: Síguenos en Instagram: Síguenos en Twitter:
These modern machine shows there’re advance technology that develop construction project and modern farming and speed up the word than ever before This video content is for entertainment some informative knowledge on how to farm tomatoes. Disclaimer: A-Z Tech cgannel is not affiliated with the businesses whose products are shown in this review. Any trademarks depicted are the property of their respective owners. Contact Information: FB: Email:
Introducing the Samsung AI Ecobubble™ washing machine. It has Artificial Intelligence built-in, which makes it smart enough to learn your laundry habits and suggest you appropriate laundry cycles. While AI makes your washing easy, Ecobubble™ ensures the gentlest of washes. The future of washing machines is here. #Ecobubble #Samsung Know more: Connect with us: Support: Community: Facebook: Twitter: Instagram: To enroll under: Samsung Student program, click: Samsung Referral program, click:
*** Natural Language Processing Course: *** This session on Context Free Grammar will give you a detailed and comprehensive knowledge of context-free grammar and how it is used in Natual Language Processing. It also focuses on Syntax trees and Techniques like Chinking and Chunking. ———————————— About this course : Edureka’s Natural Language Processing with Python course will take you through the essentials of text processing all the way up to classifying texts using Machine Learning algorithms. You will learn various concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and so on using Python’s most famous NLTK package. Once you delve into NLP, you will learn to build your own text classifier using the Naïve Bayes algorithm. ———————————— Meetup: Instagram: Slideshare: Facebook: Twitter: LinkedIn: For more information, please write back to us at or call us at: IND: 9606058406 / US: 18338555775 (toll free)
Dataset: In this video, we will learn about spam text message classification using NLP. Natural Language Processing (NLP) is the field of Artificial Intelligence, where we analyze text using machine learning models. Text Classification, Spam Filters, Voice text messaging, Sentiment analysis, Spell or grammar check, Chatbot, Search Suggestion, Search Autocorrect, Automatic Review, Analysis system, Machine translation are the applications of NLP. Tokenization is breaking the raw text into small chunks. Tokenization breaks the raw text into words, sentences called tokens. These tokens help in understanding the context or developing the model for the NLP. The tokenization helps in interpreting the meaning of the text by analyzing the sequence of the words. 🔊 Watch till last for a detailed description 03:33 What is NLP? 09:38 Natural Language generation 12:42 Installing packages 21:11 Bag of words 27:07 Get started with Code 32:05 Balance the data 37:16 Exploratory data analysis 49:08 Pipeline and random forest 58:41 Support vector machine 👇👇👇👇👇👇👇👇👇👇👇👇👇👇 ✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐ ENROLL in My Highest Rated Udemy Courses to 🔑 Unlock Data Science Interviews 🔎 and Tests 📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS Build & Deploy ML NLP Models with Real-world use Cases. Multi-Label & Multi-Class Text Classification using BERT. Course Link: 📊 📈 Data Visualization in Python Masterclass: Beginners to Pro Visualization in matplotlib, Seaborn, Plotly & Cufflinks, EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data. Course Link: 📘 📙 Natural Language Processing (NLP) in Python for Beginners NLP: Complete Text Processing with [More]
CS 301 — Spring 2015 Presented by Mike M. and Jenny S.
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: Professor Christopher Manning, Stanford University Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) To follow along with the course schedule and syllabus, visit:
The Asia-Pacific Europe Law Institutes Alliance (APELIA) Conference 2021 We have been captivated by Alpha-Go, experiencing driverless cars, considered smart contracts, tempted by crypto currencies, relying on the use of AI robotics in production, distribution, and product delivery; most importantly we are witnessing, with relief, its targeted application in the development of new vaccines during the COVID-19 pandemic. However, AI is also challenging scientific, ethical, legal, and regulatory norms. Where are we now and where are we heading as regards AI technologies? Who is responsible for AI’s applications? How do we eliminate AI bias? How do we deal with cross-border data flows? What legal status may be most beneficial for stakeholders? Although initiatives on AI are being suggested and promoted by national and international actors, there is still a long way to go to reach a consensus on AI under the combined effect of a technological revolution and international political and trade arm wrestling. With contribution from scholars of prominent law institutes in Asia-Pacific and Europe, as well as policymakers, judges, AI scientists and entrepreneurs, this multidisciplinary conference examined and debated those challenges against an international context. Closing Remarks Professor Yuwen Li, Founding Co-Director of APELIA, and Director of Erasmus University Rotterdam China Law Centre, Netherlands Find out more: **Related Videos** Artificial Intelligence (AI), Trade, and the Rule of Law: Opening Remarks – Artificial Intelligence (AI), Trade, and the Rule of Law: Introductory Key Conversation – Artificial Intelligence (AI), Trade, and the Rule of Law: Panel A [More]
2021-04-17 The topics covered are Matplotlib, Neural networks, Deep learning.
Looking for a career upgrade & a better salary? We can help, Choose from our no 1 ranked top programmes. 25k+ career transitions with 400 + top corporate companies. Exclusive for working professionals: 🔥 Get the free certificate of completion for the Artificial Intelligence With Python Course, Register Now: People skilled in Artificial Intelligence are paid around $150k per annum. Top companies such as Google, Facebook, Apple, and Microsoft invest heavily in the R&D of their Artificial Intelligence systems. Keeping the importance of artificial intelligence in mind, we have come up with this full course on Artificial Intelligence. Visit Great Learning Academy, for free access to full courses, projects, data sets, codebooks & live sessions: ————————————————————————————————————————————————————- This session will be taken by Professor Mukesh Rao, who is the Director of Education Data Science at Great Learning. Professor Mukesh Rao has over 20 years of industry experience in Data Science, Market Research and Project Management and has conducted over 100 corporate trainings. ————————————————————————————————————————————————————- These are the topics covered in this Artificial Intelligence Tutorial: *Introduction – 00:00:00 *History Behind Deep Neural Networks – 00:02:02 *Relationship between Biological Neuron and Artificial Neuron – 00:08:05 *Working of Perceptron – 00:018:05 Demo on McCullohPitt and Rosenblat Neurons-00:55:34 *Architecture of Artificial Neural Network- 01:17:35 *Activation Functions – 02:20:11 *Demo on Wine Dataset using Keras Sequential Model – 03:35:00 *Back-propagation and Gradient Descent Algorithm -06:13:00 *Demo on MNIST Dataset – 6:44:55 ——————————————————————————————————– Visit Great Learning Academy, to get access to 80+ free courses with [More]
This is a talk by Stephen Wolfram for MIT course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world. INFO: Course website: AI podcast: CONNECT: – If you enjoyed this video, please subscribe to this channel. – AI Podcast: – Show your support: – LinkedIn: – Twitter: – Facebook: – Instagram:
** Machine Learning Engineer Masters Program: ** This Edureka video on “Types Of Artificial Intelligence” will help you understand the different stages and types of Artificial Intelligence in depth. The following topics are covered in this Artificial Intelligence Tutorial: (01:08) History Of AI (03:20) What Is AI? (04:07) Stages Of Artificial Intelligence (06:45) Types Of Artificial Intelligence (09:16) Domains Of Artificial Intelligence Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: Instagram: Facebook: Twitter: LinkedIn: Slideshare: Check out the entire Machine Learning Playlist: ————————————- About the Masters Program Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning. The Master’s Program Covers Topics LIke: Python Programming PySpark HDFS Spark SQL Machine Learning Techniques and Artificial Intelligence Types Tokenization Named Entity Recognition Lemmatization Supervised Algorithms Unsupervised Algorithms Tensor Flow Deep learning Keras Neural Networks Bayesian and Markov’s Models Inference Decision Making Bandit Algorithms Bellman Equation Policy Gradient Methods. ———————- Prerequisites There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a [More]
दुनिया की सबसे खतरनाक ROBOT🔥| SOPHIA ROBOT #shorts Hope you like the video so don’t forget to like and Subscribe ❤️ #Facts #Facttechz #Facttechznewvideo #Robot #manishjodhpuri #Mrfactician #Factstar #Bostondynamics #Sophiarobot #Sophia #Mostadvancedrobot Tags- Facts Facttechz Facttechz new video Manish jodhpuri Mr. Factician Mr. Gyani Factstar Robot Boston dynamics Sophia robot Sophia robot interview Most advanced robot Shorts youtubeshorts shorts video ytshorts sophia the robot, hanson robotics, artificial intelligence, robot, robot sophia, humanoid robot, ai, sophia robot interview, technology, ai robot, humanoid, robotics, tech, real robot, ai research, robots, girls who code, stem, sophia robot charlie rose, sophia robot destroy humans, sophia robot rollout, sophia robot 2021, sophia robot new version, sophia robot new look, new sophia robot, sophia, frubber, machine learning, sophia ai, news channel, world news, stock market, finance news, cable news, us news, news station, business news, humanoid robots, robot sophia interview, t flex tech, breaking news, cnbc, cable, artificial general intelligence, sophia the robot interview, human robot interactions, tflex tech, tflex life, android, hot robot, boston dynamics, robot technology, sxsw cnbc, money tips, grace robot, finance, covid-19, tflextech02, sxsw, stock, blockchain, robot sophia 2019, sophia the robot 2018, sophia the robot singing, a.i., terminator, cloud computing, future of artifical intelligence, hot robot at sxsw says she wants to destroy humans, robot sophia 2017, sophia the robot 2019, sophia ai scary, artificial intelligence robot, sophia ai robot interview, sophia ai destroy, neil degrasse tyson sophia, neil degrasse tyson, chuck nice neil degrasse tyson, chuck nice comedian, niel degrasse [More]
A documentary and journey into the future exploring the possibilities and predictions of artificial intelligence. This timelapse of the future explores what is coming, from robots that are too fast for humans to see, to A.I. bots from Microsoft (bringing back loved ones to life) and Google’s laMDA (replacing the need for online searches). Elon Musk’s Neuralink goes from a medical and healthcare device, to helping people become superhuman – with intelligence amplification, and add-ons that connect to the brain chip. Artificial general intelligence begins to design an A.I. more powerful than itself. People begin to question if humanity has reached the technological singularity. Artificial Super Intelligence emerges from the AGI. And further into the deep future. Human consciousness becomes digitized and uploaded into a metaverse simulation. It is merged with A.I. creating hybrid consciousness – which spreads across the cosmos. Matrioshka brains and Dyson Spheres host humanity’s consciousness in a cosmic simulation network. Quotes about the future from: James J Hughes Additional footage sourced from: Neuralink, Tesla —– A future of artificial intelligence sci-fi documentary, and a timelapse look into future technology. See more of Venture City at my new website: —– Books Recommendations by Elon Musk on A.I,. future technology and innovations, and sci-fi stories (affiliate links): • Superintelligence: Paths, Dangers, Strategies • Life 3.0: Being Human in the Age of Artificial Intelligence • Our Final Invention: Artificial Intelligence and the End of the Human Era • The Foundation: • The Hitchhikers Guide [More]
HAI’s fall 2020 conference, “Triangulating Intelligence: Melding Neuroscience, Psychology, and AI,” focused on the latest research on cognitive science, neuroscience, vision, language, and thought informing the pursuit of artificial intelligence. Session 1 Welcome: :03 Fei-Fei-Li, 李飞飞, Sequoia Professor, Computer Science Department; Denning Co-Director, Stanford HAI Introduction: 2:13 Christopher Manning, Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Stanford University; Faculty Associate Director, Stanford HAI Surya Ganguli, Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University; Faculty Associate Director, Stanford HAI AI, Psychology, and Neuroscience: The View from DeepMind: 16:06 Matthew Botvinick, Director of Neuroscience Research, DeepMind; Honorary Professor, Computational Neuroscience Unit, University College London Self-Supervised Learning of Visual (And Other) Representations: 45:51 Dan Yamins, Assistant Professor of Psychology and Computer Science, Stanford University; Faculty Scholar, Wu Tsai Neurosciences Institute How Not to Create a Robot’s Mind: 1:13:22 Chelsea Finn, Assistant Professor of Computer Science and Electrical Engineering, Stanford University Panel discussion: 1:36:34 Session 2 How to Allow Deep Learning on Your Data Without Revealing Your Data: Simple and Effective Approaches to Privacy: 2:29:19 Sanjeev Arora, Charles C. Fitzmorris Professor of Computer Science, Princeton University Commonsense Intelligence: Cracking the Longstanding Challenge in AI: 2:56:38 Yejin Choi, Associate Professor, University of Washington; Senior Research Manager, Allen Institute for Artificial Intelligence Incorporating Insights from Cognitive Science into AI: 3:21:45 Aude Oliva, MIT Director, MIT-IBM Watson AI Lab; Co-Director, MIT Quest for Intelligence Scaling AI the Human Way: [More]
If AI is to serve the collective needs of humanity, how should machine intelligence be built and designed so that it can understand human language, feelings, intentions and behaviors, and interact with nuance and in multiple dimensions? Stanford University computer science professor Dr. Fei-Fei Li and Greylock general partner Reid Hoffman discuss the ethical considerations researchers, technologists and policymakers should make when developing and deploying AI. This episode was recorded as part of Greylock’s Iconversations virtual speaker series. You can also find the podcast and transcript of this discussion here:…human-centered-ai/
Consciousness is the Creator and User of technology in the material world. Consciousness extends itself into the material world through Water, which is the Architect of Nature. Humans are a combination of the two, Consciousness (water) and Matter, and we are now the new Architects of Nature. In this video we will discuss the question: Will AI / Technology ever gain its own consciousness and self awareness? Please subscribe and watch our lecture playlist to learn more about this subject. Thank you! #AI #Technology #Consciousness Animation: Music: Almost in F – Tranquillity by Kevin MacLeod is licensed under a Creative Commons Attribution license ( Source: Artist:
In this one hour conference presentation, Codrin Arsene, CEO @ Digital Authority Partners breaks down the concept of artificial intelligence in the digital health space reviewing dozens of examples, use cases and AI capabilities profoundly redefining the delivery and quality of care in the US and the rest of the world.
Science Documentary: Artificial Intelligence, Cloud Robots, Trusting Technology As technology advances, a portion of our population cannot help but react with panic. Throughout our human history, as technology grows, so to has our fear as to where this technology will take us. This fear has taken hold through each and every stage of the industrial revolution. Fears such that, the alphabet will wipe away our memories, the telegraph will stop us from remembering how to write in full sentences. But the closer the technology resembles us humans, as in robotics and artificial intelligence, the greater is our fear. Yet if we build robots in the image that we wish for us to be, then the future of technology is sure to be an exciting one. Cloud Robots Computers can only answer questions posed by the humans who programmed them. So it is up to humans to ask the truly important questions. Is it possible for machines to make better decisions than humans? Several top tech company CEO’s have advised about the concerns they have about the singularity. But now there is a new idea, called the multiplicity, in which diverse groups of humans work together with diverse groups of machines, with the goal to ultimately be making the very best decisions. Computers and machines have the advantage over humans in their speed and precision. We rely on them in our everyday lives, with things like pace makers and auto pilot systems. And now many Institutions studying computer science are putting [More]
Episode 44. Rebecca is a PhD candidate in Machine Ethics, and consultant in Ethical AI at Oxford Brookes University, Institute for Ethical Artificial Intelligence. Her PhD research is entitled ‘Autonomous Moral Artificial Intelligence’, and as a consultant she specialises in looking at developing practical approaches to embedding ethics in AI Products. Her background is primarily philosophy. She completed her BA, then MA in philosophy at The University of Nottingham in 2010, before working in analytics for several different industries. As an undergraduate she had a keen interest in logic, metametaphysics, and the topic of consciousness, spurring her to come back into academia in 2017 to undertake a further qualification in psychology at Sheffield Hallam University, before embarking on her PhD. She hopes she can combine her diverse interests to solving the challenge of creating moral machines. In her spare time she can be found playing computer games, running, or trying to explore the world.
A realistic look in the future of AI Dr. Julie Carpenter will talk about the fears and hopes that the topic of artificial intelligence evokes in people. She will correct false impressions, discuss the implications of this topic in the here and now, and take a realistic look at the future. Finally, she will also address ethical issues in this context. She takes a critical and very pragmatic look at the future of AI. Dr. Julie Carpenter TW:
Future of Artificial Intelligence in Business This video describes how AI will be developing in terms of approaches of adopting ICT, and then relates this to future impact on economies, the job market and the society. It ends with discussing the convergence of man and machines.
A presentation on the future of AI in businesses and society.