Booksmith & Berkeley Arts & Letters present a virtual event with Martin Ford for his new book Rule of the Robots: How Artificial Intelligence Will Transform Everything on September 16, 2021. Order copies of Rule of the Robots and have it shipped to your door: – ABOUT THE AUTHOR – Martin Ford is a futurist and the author of New York Times bestseller Rise of the Robots, a prescient look at AI and work. It won the Financial Times Business Book of the Year Award. His TED Talk on the impact of artificial intelligence on society has been viewed over 3 million times. – MORE FROM BOOKSMITH – 📅 Upcoming events: 📚 Order books to be delivered anywhere in the world: ✍️ Sign up for our weekly newsletter:
You better hold on, because Artificial Intelligence is about to take off, and social disruption is sure to follow. In this episode, Martin Ford joins Tom to help us discover how AI will impact you, your business, and how you can position yourself to benefit from its increasingly large role in day-to-day life. 00:00 – Intro 02:58 – How Will Robots Change Jobs? 04:24 – What Sectors Of The Economy Will Be Impacted By AI? 07:06 -How Does AI Work? 09:02 -What Opportunities Will AI Open For Businesses? 10:03 – How Well Will AI Predict Outcomes? 11:24 – What Are The Risks Of AI? 13:11 – What Jobs Are Most Compatible With AI? 16:23 – How Does Block Chain Incorporate AI? 17:52 – Can Robots Run A Business? 23:08 – How Could The IRS Use AI? Looking for more on Martin Ford? Website: Book: “Rule of the Robots: How Artificial Intelligence Will Transform Everything” Tom Wheelwright, #CPA is a Best-Selling Author, Entrepreneur & Worldwide Authority on Tax. ********************************** PODCAST: WealthAbility® For CPAs ********************************** Listen & Subscribe on iTunes, Stitcher & Spotify! YouTube Playlist ********************************** Resources ********************************** Tom’s Book: Tax-Free Wealth Visit WealthAbility® Sign up for Tom’s Free Weekly Report Schedule A Call With My Team Social Media *********************************** Facebook (Tom Wheelwright) Facebook (WealthAbility®) Facebook(Tax-Free Wealth Book) Twitter (WealthAbility®) Instagram (WealthAbility®) DISCLAIMER: WealthAbility® does not provide tax, legal or accounting advice. The materials provided have been prepared for [More]
Maluuba Research has developed a suite of tasks that teach artificial agents how to seek information actively, by asking questions. We’ve also designed a deep neural agent that learns to accomplish these tasks through efficient information-seeking behaviour. Such behaviour is a vital research step towards Artificial General Intelligence. Read the paper: Learn more about Maluuba Research:
Can you tell the difference between AI and a human?, with Michael Wooldridge Subscribe to Big Think on YouTube ►► Up next ►► Walter Isaacson on Alan Turing, Intelligent Machines and “The Imitation Game” 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: ———————————————————————————- 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]
This lecture considers the current reality of Artificial Intelligence in education and its transformative potential. What do we mean by the term ‘AI’? A lecture by Professor Rose Luckin, University College London 09 April 2019 6pm (UK time) This lecture will consider the current reality of AI in education and its transformative potential. Professor Luckin will introduce what we mean by the term AI and how the development of increasingly smart technologies in the workplace and home requires us to change how and what we teach and learn. It will be explained how AI is already supporting the teaching and learning process, with speculation about the possible futures that AI might provide in order to help us tackle our greatest educational challenges.
Progress in artificial intelligence (AI), deep learning, and robotics allow new capabilities that will affect military strategies assertively.
In this video I discuss the role of artificial intelligence in education and explore the roles of teachers and intelligent machine to make learning a better experience for everyone. 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 here: Thanks for watching!
Led by Start-Up Nation Central, Jerusalem: Where Tech Meets Design presents our flagship conference: Designing | Engineering the Future 2019. Speaker: Molly Wright Steenson, Carnegie Mellon School of Design Topic: The New What? AI, the Past, and the Future For more information, visit
Humanizing Technology through Design 17-19 June 2021 Turin Day 1 — Session “Ethic and Technology” Molly Wright Steenson — “Ethics – or something else?” Humanizing Technology through Design is a project by Circolo del Design, curated by Jan-Christoph Zoels, and coordinated by Sara Fortunati / Main partner: Camera di commercio di Torino, Enterprise Europe Network / In collaboration with: OGR Torino / The patronage of: Città di Torino / Cultural Partner: Torino Città Creativa UNESCO per il Design / Promo Partner: Fondazione Torino Wireless Visual design: Fionda Video subtitles: Federica Furnari
Molly Steenson of Carnegie Mellon University is interviewed at the NewsDesk at O’Reilly Design Conference 2016. Subscribe to O’Reilly on YouTube: Follow O’Reilly on Twitter: Facebook: Google:
Check out How Artificial Intelligence Can Change The Health Care Industry Future. AIBridge ML has been contributing to innovation and advanced research in Artificial Intelligence by working with a pool of resources well-versed in learning models and languages that are used in coding intelligent bots and assistants. Our team is capable of understanding client requirements to develop best-in-class AI solutions that can fulfill client requirements in addition to consulting and support services around Artificial Intelligence. Contact us: for Artificial Intelligence Solutions. ☎️ +91 40 4640 0400 💻 ✉️
In this video, Dr. Webb talks about artificial intelligence and whether this will be the future of medicine. Articles can be found here: Click below to be added to Dr. Webb’s email list to be the first to be notified about what he is up to, pre-med and medical school advice, and general tips to be successful Dr. Webb’s Amazon Shopping List and Personal Recommendations: Looking for a more personalized and 1:1 mentorship with Dr. Webb to help you reach your goals, then look no further! Become a patreon and receive weekly or monthly phone calls from Dr. Webb, opportunity to have your application or personal statement reviewed, access to exclusive behind the scenes footage with never released pre-med/med/residency videos, personalized and proven to work study plans for the MCAT, USMLE step 1,2,and 3, and the chance to network with a physician in your career of choice plus more! Become a patreon TODAY! Visit: Book I Used to Do Well in Medical School Constanza Physiology: Pathoma: USMLE Step 1 First Aid: BRS Physiology: BRS Biochemisry: BRS Gross Anatomy: BRS Cell Biology: BRS Pathology: BRS Microbiology: BRS Pharmacology: BRS Embryology: Items I Used to Work Out and Stay Healthy in Medical School Harbinger Pro Wristwrap Weightlifting Gloves: Beats Studio Wireless Over-Ear Headphone (Matte Black) BlenderBottle Classic Loop Top Shaker Bottle: Under Armour Men’s Muscle Tank: Under Armour Men’s Maverick Tapered Pants: [More]
What is A.I? Why is Elon Musk worried about it? Can it be smarter than us? What can we do to prevent a doomsday? How to get people more serious about it? What are the latest trends? Will AI be good or bad? How can we use it? Who will lose their jobs, what’s the solution? Will we ourselves become AI? Will we shed our biological limbs for a better alternative?
As sophisticated algorithms can complete tasks we once thought impossible, computers are seeming to become a real threat to humanity. Subscribe to The Guardian ► Whether they decide to pulp us into human meat paste, or simply make our work completely unnecessary, argues technology reporter Alex Hern, we should be afraid of computers. Guardian website ► Suggested videos: The last job on Earth ► Capitalism is failing ► Guardian playlists: Comment is Free ► Guardian Docs ► Guardian Features ► Guardian Animations & Explanations ► Guardian Investigations ► The Global Migration Crisis ► Anywhere but Westminster ► Casetteboy remix the news ► More Guardian videos: We Walk Together ► Everyday racism – Akala ► Pretty Radical ► Capitalism is failing – Paul Mason ► My life as a female bodybuilder ► After Banksy: the parkour guide to Gaza ► If I Die On Mars ► Revenge Porn: Chrissy Chambers and her search for justice ► Mos Def force fed in Gitmo procedure ► Edward Snowden interview ► Bangladeshi Sex Workers take steroids ► Other Guardian channels on YouTube: Guardian Football ► Guardian Music ► Guardian Australia ► Guardian Tech ► Guardian Culture ► Guardian Wires ► Guardian Food ►
Full episode with Nick Bostrom (Mar 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: Nick Bostrom is a philosopher at University of Oxford and the director of the Future of Humanity Institute. He has worked on fascinating and important ideas in existential risks, simulation hypothesis, human enhancement ethics, and the risks of superintelligent AI systems, including in his book Superintelligence. I can see talking to Nick multiple times on this podcast, many hours each time, but we have to start somewhere. Subscribe to this YouTube channel or connect on: – Twitter: – LinkedIn: – Facebook: – Instagram: – Medium: – Support on Patreon:
We are in a simulation. Has it occurred to you that means God is real? By drawing parallels to worlds we have created, we ask, from inside our simulator, what actions do we have available? Can we get out? Meet God? Kill him? About SXSW: SXSW dedicates itself to helping creative people achieve their goals. Founded in 1987, SXSW is best known for its conference and festivals that celebrate the convergence of the interactive, film, and music industries. An essential destination for global professionals, the event features sessions, showcases, screenings, exhibitions, and a variety of networking opportunities. SXSW proves that the most unexpected discoveries happen when diverse topics and people come together. SXSW 2019 takes place every March in Austin, Texas. Subscribe: Connect with SXSW: Website: Facebook: Twitter: Instagram: YouTube:
Top Artificial Intelligence AI Predictions for 2021 In 2019, IDC predicted growth in AI technology, stating that spending on AI tech would increase over two and a half times, amounting to$97.9billion by 2023. Considering the tech and newest inventions in 2019, it is only right that AI flourished even better in 2020. Unfortunately, the coronavirus hit the following year. The global outbreak led to overcrowded hospitals and numerous loss of lives. Significantly, the pandemic accelerated the growth of AI. Despite the pandemic wreaking global havoc, it only minimized the evolution of AI. Many believe AI Stigmatization is a myth, and rightfully so. Although the pandemic slowed down the growth of new AI, it became widely used in arguably every sector in the world. Director of ISG automation Wayne Butterfield said, ‘As the grip of the pandemic continues to affect the ability of the enterprise to operate, AI in many guises will become increasingly important as businesses seek to understand their COVID- affected data sets and continue to automate day-to-day tasks.’ 2020 also witnessed more digitally connected business through AI because of the work-from-home policy implemented in almost every country. This trend will undoubtedly continue in 2021. But what other trends are we likely to witness in 2021? Nice to have you back on the channel, guys! Today, we are going to do a quick rundown on the Top artificial intelligence predictions for 2021. Make sure you like, share, comment, and if you’re watching us for the first time, kindly subscribe. [More]
Video games can be tough, but it’s always nice to know that these guys have got your back. Join as we count down our picks for the Top 10 Most Helpful A.I Companions In Video Games. Suggestion Tool►► Subscribe►► Facebook►► Twitter►► Instagram►► Channel Page►► For this list, we are looking at sidekicks, teammates and partners that accompany the player throughout the experience, helping them to overcome obstacles and enemies, but most importantly are rarely in the way. Special thanks to our user W-S for submitting the idea on our interactive suggestion tool: Check out the voting page here, Want a WatchMojo cup, mug, t-shirts, pen, sticker and even a water bottle? Get them all when you order your MojoBox gift set here: WatchMojo is a leading producer of reference online video content, covering the People, Places and Trends you care about. We update DAILY with 4-5 Top 10 lists, Origins, Biographies, Versus clips on movies, video games, music, pop culture and more!
***AI and Deep Learning using TensorFlow: *** This Edureka Live video on “Tensorflow Image Classification” will provide you with a comprehensive and detailed knowledge of Image classification and how it can be implemented using Tensorflow. It covers the following topics: 1:04 What is TensorFlow 1:35 Applications of TensorFlow 2:32 Image Classification 3:15 Fashion MNIST 16:42 CIFAR-10 ———————————————————– Machine Learning Podcast – Complete Youtube Playlist here: Deep Learning Blog Series: Subscribe to our channel to get video updates. Hit the subscribe button above: Instagram: Slideshare: Facebook: Twitter: LinkedIn: ———————————————————– #edureka #edurekadeeplearning #tensorflow #imageclassification #deeplearning #tensorflowtutorial About the course: Edureka’s Deep Learning in TensorFlow with Python Certification Training is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The course has been specially curated by industry experts with real-time case studies. —————————————————— Objectives: Deep Learning in TensorFlow with Python Training is designed by industry experts to make you a Certified Deep Learning Engineer. The Deep Learning in TensorFlow course offers: In-depth knowledge of Deep Neural Networks Comprehensive knowledge of various Neural Network architectures such as Convolutional Neural Network, Recurrent Neural Network, Autoencoders Implementation of Collaborative Filtering with RBM The exposure to real-life industry-based projects which will be executed using TensorFlow library Rigorous involvement of an SME throughout the AI & Deep Learning Training to learn industry [More]
In this video, we will learn How to extract text from a pdf file in python NLP. Natural Language Processing (NLP) is the field of Artificial Intelligence, where we analyse 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. This notebook demonstrates the extraction of text from PDF files using python packages. Extracting text from PDFs is an easy but useful task as it is needed to do further analysis of the text. We are going to use PyPDF2 for extracting text. You can download it by running the command given below. We have used the file NLP .pdf in this notebook. The open() function opens a file and returns it as a file object. rb opens the file for reading in binary mode. 🔊 Watch till last for a detailed description 02:43 Importing the libraries 06:21 Reading and extracting the data 09:17 Append write or merge PDFs 13:20 Analysing the output 👇👇👇👇👇👇👇👇👇👇👇👇👇👇 ✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐ 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, [More]
In this video we will see CV and resume parsing with custom NER training with SpaCy. Natural Language Processing (NLP) is the field of Artificial Intelligence, where we analyse text using machine learning models. Text Classification, Spam Filters, Voice text messaging, Sentiment analysis, Spell or grammar check, Chat bot, Search Suggestion, Search Autocorrect, Automatic Review, Analysis system, Machine translation are the applications of NLP. 🔊 Watch till last for a detailed description 02:14 what is Resume summarization? 13:56 Loading the data 25:26 Load the model 34:32 Analysing output 👇👇👇👇👇👇👇👇👇👇👇👇👇👇 ✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐ 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 Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT Course Link: . 📈 📘 2021 Python for Linear Regression in Machine Learning Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch. Course Link: 📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro Learn Latest [More]
In this spaCy tutorial, you will learn all about natural language processing and how to apply it to real-world problems using the Python spaCy library. 💻 Course website with code: ✏️ Course developed by Dr. William Mattingly. Check out his channel: ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Course Introduction ⌨️ (0:03:56) Intro to NLP ⌨️ (0:11:53) How to Install spaCy ⌨️ (0:17:33) SpaCy Containers ⌨️ (0:21:36) Linguistic Annotations ⌨️ (0:45:03) Named Entity Recognition ⌨️ (0:50:08) Word Vectors ⌨️ (1:05:22) Pipelines ⌨️ (1:16:44) EntityRuler ⌨️ (1:35:44) Matcher ⌨️ (2:09:38) Custom Components ⌨️ (2:16:46) RegEx (Basics) ⌨️ (2:19:59) RegEx (Multi-Word Tokens) ⌨️ (2:38:23) Applied SpaCy Financial NER 🎉 Thanks to our Champion and Sponsor supporters: 👾 Wong Voon jinq 👾 hexploitation 👾 Katia Moran 👾 BlckPhantom 👾 Nick Raker 👾 Otis Morgan 👾 DeezMaster 👾 AppWrite — Learn to code for free and get a developer job: Read hundreds of articles on programming: And subscribe for new videos on technology every day:
This talk will introduce participants to the theory and practice of machine learning in production. The talk will begin with an intro on machine learning models and data science systems and then discuss data pipelines, containerization, real-time vs. batch processing, change management and versioning. As part of this talk, an audience will learn more about: • How data scientists can have the complete self-service capability to rapidly build, train, and deploy machine learning models. • How organizations can accelerate machine learning from research to production while preserving the flexibility and agility of data scientists and modern business use cases demand. A small demo will showcase how to rapidly build, train, and deploy machine learning models in R, python, and Spark, and continue with a discussion of API services, RESTful wrappers/Docker, PMML/PFA, Onyx, SQLServer embedded models, and lambda functions.
If you want to do machine learning and are looking for a new computer stop. Do not buy one, just use google colab. 3 Data Science Learning Platforms I would recommend 1. Data Quest – (my favourite) 2 Data Camp – 3 365 Data Science – 2 Recommended Python Courses 1. Exploratory Data Analysis with Python and Pandas – 2. Complete Python Programmer Bootcamp – Data Science Interview Preparation StrataScratch (These contain affiliate links, which means I receive a percentage of any sales made. There is no additional cost for anybody clicking on them) My favourite books (affiliate link) 👌 SUBSCRIBE to ME!👌