The editors at Solutions Review curated this list of the best AI and machine learning TED talks for practitioners in the field.
TED Talks are influential videos from expert speakers in a variety of verticals. TED began in 1984 as a conference where Technology, Entertainment and Design converged, and today covers almost all topics from business to technology to global issues in more than 110 languages. TED is building a clearinghouse of free knowledge from the worlds top thinkers, and their library of videos is expansive and rapidly growing.
Solutions Review has curated this list of AI and machine learning TED talks to watch if you are a practitioner in the field. Talks were selected based on relevance, ability to add business value, and individual speaker expertise. Weve also curated TED talk lists for topics like data visualization and big data.
Erik Brynjolfsson is the director of the MIT Center for Digital Business and a research associate at the National Bureau of Economic Research. He asks how IT affects organizations, markets and the economy. His books include Wired for Innovation and Race Against the Machine. Brynjolfsson was among the first researchers to measure the productivity contributions of information and community technology (ICT) and the complementary role of organizational capital and other intangibles.
In this talk, Brynjolfsson argues that machine learning and intelligence are not the end of growth its simply the growing pains of a radically reorganized economy. A riveting case for why big innovations are ahead of us if we think of computers as our teammates. Be sure to watch the opposing viewpoint from Robert Gordon.
Jeremy Howard is the CEO ofEnlitic, an advanced machine learning company in San Francisco. Previously, he was the president and chief scientist atKaggle, a community and competition platform of over 200,000 data scientists. Howard is a faculty member atSingularity University, where he teaches data science. He is also a Young Global Leader with the World Economic Forum, and spoke at the World Economic Forum Annual Meeting 2014 on Jobs for the Machines.
Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis.
Nick Bostrom is a professor at the Oxford University, where he heads theFuture of Humanity Institute, a research group of mathematicians, philosophers and scientists tasked with investigating the big picture for the human condition and its future. Bostrom was honored as one ofForeign Policys 2015Global Thinkers. His bookSuperintelligenceadvances the ominous idea that the first ultraintelligent machine is the last invention that man need ever make.
In this talk, Nick Bostrom calls machine intelligence the last invention that humanity will ever need to make. Bostrom asks us to think hard about the world were building right now, driven by thinking machines. Will our smart machines help to preserve humanity and our values or will they have values of their own?
Lis work with neural networks and computer vision (with Stanfords Vision Lab) marks a significant step forward for AI research, and could lead to applications ranging from more intuitive image searches to robots able to make autonomous decisions in unfamiliar situations. Fei-Fei was honored as one ofForeign Policys 2015Global Thinkers.
This talk digs into how computers are getting smart enough to identify simple elements. Computer vision expert Fei-Fei Li describes the state of the art including the database of 15 million photos her team built to teach a computer to understand pictures and the key insights yet to come.
Anthony Goldbloom is the co-founder and CEO ofKaggle. Kaggle hosts machine learning competitions, where data scientists download data and upload solutions to difficult problems. Kaggle has a community of over 600,000 data scientists. In 2011 and 2012,Forbesnamed Anthony one of the 30 under 30 in technology; in 2013 theMIT Tech Reviewnamed him one of top 35 innovators under the age of 35, and the University of Melbourne awarded him an Alumni of Distinction Award.
This talk by Anthony Goldbloom describes some of the current use cases for machine learning, far beyond simple tasks like assessing credit risk and sorting mail.
Tufekci is a contributing opinion writer at theNew York Times, an associate professor at the School of Information and Library Science at University of North Carolina, Chapel Hill, and a faculty associate at Harvards Berkman Klein Center for Internet and Society. Her book,Twitter and Tear Gas was published in 2017 by Yale University Press.
Machine intelligence is here, and were already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that dont fit human error patterns and in ways we wont expect or be prepared for.
In his bookThe Business Romantic, Tim Leberecht invites us to rediscover romance, beauty and serendipity by designing products, experiences, and organizations that make us fall back in love with our work and our life. The book inspired the creation of the Business Romantic Society, a global collective of artists, developers, designers and researchers who share the mission of bringing beauty to business.
In this talk, Tim Leberecht makes the case for a new radical humanism in a time of artificial intelligence and machine learning. For the self-described business romantic, this means designing organizations and workplaces that celebrate authenticity instead of efficiency and questions instead of answers. Leberecht proposes four principles for building beautiful organizations.
Grady Booch is Chief Scientist for Software Engineering as well as Chief Scientist for Watson/M at IBM Research, where he leads IBMs research and development for embodied cognition. Having originated the term and the practice of object-oriented design, he is best known for his work in advancing the fields of software engineering and software architecture.
Grady Booch allays our worst (sci-fi induced) fears about superintelligent computers by explaining how well teach, not program, them to share our human values. Rather than worry about an unlikely existential threat, he urges us to consider how artificial intelligence will enhance human life.
Tom Gruberis a product designer, entrepreneur, and AI thought leader who uses technology to augment human intelligence. He was co-founder, CTO, and head of design for the team that created theSiri virtual assistant. At Apple for over 8 years, Tom led the Advanced Development Group that designed and prototyped new capabilities for products that bring intelligence to the interface.
This talk introduces the idea of Humanistic AI. He shares his vision for a future where AI helps us achieve superhuman performance in perception, creativity and cognitive function from turbocharging our design skills to helping us remember everything weve ever read. The idea of an AI-powered personal memory also extends to relationships, with the machine helping us reflect on our interactions with people over time.
Stuart Russell is a professor (and formerly chair) of Electrical Engineering and Computer Sciences at University of California at Berkeley. His bookArtificial Intelligence: A Modern Approach (with Peter Norvig) is the standard text in AI; it has been translated into 13 languages and is used in more than 1,300 universities in 118 countries. He also works for the United Nations, developing a new global seismic monitoring system for the nuclear-test-ban treaty.
His talk centers around the question of whether we can harness the power of superintelligent AI while also preventing the catastrophe of robotic takeover. As we move closer toward creating all-knowing machines, AI pioneer Stuart Russell is working on something a bit different: robots with uncertainty. Hear his vision for human-compatible AI that can solve problems using common sense, altruism and other human values.
Dr. Pratik Shahs research creates novel intersections between engineering, medical imaging, machine learning, and medicine to improve health and diagnose and cure diseases. Research topics include: medical imaging technologies using unorthodox artificial intelligence for early disease diagnoses; novel ethical, secure and explainable artificial intelligence based digital medicines and treatments; and point-of-care medical technologies for real world data and evidence generation to improve public health.
TED Fellow Pratik Shah is working on a clever system to do just that. Using an unorthodox AI approach, Shah has developed a technology that requires as few as 50 images to develop a working algorithm and can even use photos taken on doctors cell phones to provide a diagnosis. Learn more about how this new way to analyze medical information could lead to earlier detection of life-threatening illnesses and bring AI-assisted diagnosis to more health care settings worldwide.
Margaret Mitchells research involves vision-language and grounded language generation, focusing on how to evolve artificial intelligence towards positive goals. Her work combines computer vision, natural language processing, social media as well as many statistical methods and insights from cognitive science. Before Google, Mitchell was a founding member of Microsoft Researchs Cognition group, focused on advancing artificial intelligence, and a researcher in Microsoft Researchs Natural Language Processing group.
Margaret Mitchell helps develop computers that can communicate about what they see and understand. She tells a cautionary tale about the gaps, blind spots and biases we subconsciously encode into AI and asks us to consider what the technology we create today will mean for tomorrow.
Kriti Sharma is the Founder of AI for Good, an organization focused on building scalable technology solutions for social good. Sharma was recently named in theForbes 30 Under 30 list for advancements in AI. She was appointed a United Nations Young Leader in 2018 and is an advisor to both the United Nations Technology Innovation Labs and to the UK Governments Centre for Data Ethics and Innovation.
AI algorithms make important decisions about you all the time like how much you should pay for car insurance or whether or not you get that job interview. But what happens when these machines are built with human bias coded into their systems? Technologist Kriti Sharma explores how the lack of diversity in tech is creeping into our AI, offering three ways we can start making more ethical algorithms.
Matt Beane does field research on work involving robots to help us understand the implications of intelligent machines for the broader world of work. Beane is an Assistant Professor in the Technology Management Program at the University of California, Santa Barbara and a Research Affiliate with MITs Institute for the Digital Economy. He received his PhD from the MIT Sloan School of Management.
The path to skill around the globe has been the same for thousands of years: train under an expert and take on small, easy tasks before progressing to riskier, harder ones. But right now, were handling AI in a way that blocks that path and sacrificing learning in our quest for productivity, says organizational ethnographer Matt Beane. Beane shares a vision that flips the current story into one of distributed, machine-enhanced mentorship that takes full advantage of AIs amazing capabilities while enhancing our skills at the same time.
Leila Pirhaji is the founder ofReviveMed, an AI platform that can quickly and inexpensively characterize large numbers of metabolites from the blood, urine and tissues of patients. This allows for the detection of molecular mechanisms that lead to disease and the discovery of drugs that target these disease mechanisms.
Biotech entrepreneur and TED Fellow Leila Pirhaji shares her plan to build an AI-based network to characterize metabolite patterns, better understand how disease develops and discover more effective treatments.
Janelle Shane is the owner of AIweirdness.com. Her book, You Look Like a Thing and I Love Youuses cartoons and humorous pop-culture experiments to look inside the minds of the algorithms that run our world, making artificial intelligence and machine learning both accessible and entertaining.
The danger of artificial intelligence isnt that its going to rebel against us, but that its going to do exactly what we ask it to do, says AI researcher Janelle Shane. Sharing the weird, sometimes alarming antics of AI algorithms as they try to solve human problems like creating new ice cream flavors or recognizing cars on the road Shane shows why AI doesnt yet measure up to real brains.
Sylvain Duranton is the global leader of BCG GAMMA, a unit dedicated to applying data science and advanced analytics to business. He manages a team of more than 800 data scientists and has implemented more than 50 custom AI and analytics solutions for companies across the globe.
In this talk, business technologist Sylvain Duranton advocates for a Human plus AI approach using AI systems alongside humans, not instead of them and shares the specific formula companies can adopt to successfully employ AI while keeping humans in the loop.
For more AI and machine learning TED talks, browse TEDs complete topic collection.
Timothy is Solutions Review's Senior Editor. He is a recognized thought leader and influencer in enterprise BI and data analytics. Timothy has been named a top global business journalist by Richtopia. Scoop? First initial, last name at solutionsreview dot com.
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The Best 17 AI and Machine Learning TED Talks for Practitioners - Solutions Review
- What Is Machine Learning? | How It Works, Techniques ... [Last Updated On: September 5th, 2019] [Originally Added On: September 5th, 2019]
- Start Here with Machine Learning [Last Updated On: September 22nd, 2019] [Originally Added On: September 22nd, 2019]
- What is Machine Learning? | Emerj [Last Updated On: October 1st, 2019] [Originally Added On: October 1st, 2019]
- Microsoft Azure Machine Learning Studio [Last Updated On: October 1st, 2019] [Originally Added On: October 1st, 2019]
- Machine Learning Basics | What Is Machine Learning? | Introduction To Machine Learning | Simplilearn [Last Updated On: October 1st, 2019] [Originally Added On: October 1st, 2019]
- What is Machine Learning? A definition - Expert System [Last Updated On: October 2nd, 2019] [Originally Added On: October 2nd, 2019]
- Machine Learning | Stanford Online [Last Updated On: October 2nd, 2019] [Originally Added On: October 2nd, 2019]
- How to Learn Machine Learning, The Self-Starter Way [Last Updated On: October 17th, 2019] [Originally Added On: October 17th, 2019]
- definition - What is machine learning? - Stack Overflow [Last Updated On: November 3rd, 2019] [Originally Added On: November 3rd, 2019]
- Artificial Intelligence vs. Machine Learning vs. Deep ... [Last Updated On: November 3rd, 2019] [Originally Added On: November 3rd, 2019]
- Machine Learning in R for beginners (article) - DataCamp [Last Updated On: November 3rd, 2019] [Originally Added On: November 3rd, 2019]
- Machine Learning | Udacity [Last Updated On: November 3rd, 2019] [Originally Added On: November 3rd, 2019]
- Machine Learning Artificial Intelligence | McAfee [Last Updated On: November 3rd, 2019] [Originally Added On: November 3rd, 2019]
- Machine Learning [Last Updated On: November 3rd, 2019] [Originally Added On: November 3rd, 2019]
- AI-based ML algorithms could increase detection of undiagnosed AF - Cardiac Rhythm News [Last Updated On: November 19th, 2019] [Originally Added On: November 19th, 2019]
- The Cerebras CS-1 computes deep learning AI problems by being bigger, bigger, and bigger than any other chip - TechCrunch [Last Updated On: November 19th, 2019] [Originally Added On: November 19th, 2019]
- Can the planet really afford the exorbitant power demands of machine learning? - The Guardian [Last Updated On: November 19th, 2019] [Originally Added On: November 19th, 2019]
- New InfiniteIO Platform Reduces Latency and Accelerates Performance for Machine Learning, AI and Analytics - Business Wire [Last Updated On: November 19th, 2019] [Originally Added On: November 19th, 2019]
- How to Use Machine Learning to Drive Real Value - eWeek [Last Updated On: November 19th, 2019] [Originally Added On: November 19th, 2019]
- Machine Learning As A Service Market to Soar from End-use Industries and Push Revenues in the 2025 - Downey Magazine [Last Updated On: November 26th, 2019] [Originally Added On: November 26th, 2019]
- Rad AI Raises $4M to Automate Repetitive Tasks for Radiologists Through Machine Learning - - HIT Consultant [Last Updated On: November 26th, 2019] [Originally Added On: November 26th, 2019]
- Machine Learning Improves Performance of the Advanced Light Source - Machine Design [Last Updated On: November 26th, 2019] [Originally Added On: November 26th, 2019]
- Synthetic Data: The Diamonds of Machine Learning - TDWI [Last Updated On: November 26th, 2019] [Originally Added On: November 26th, 2019]
- The transformation of healthcare with AI and machine learning - ITProPortal [Last Updated On: November 26th, 2019] [Originally Added On: November 26th, 2019]
- Workday talks machine learning and the future of human capital management - ZDNet [Last Updated On: November 26th, 2019] [Originally Added On: November 26th, 2019]
- Machine Learning with R, Third Edition - Free Sample Chapters - Neowin [Last Updated On: November 26th, 2019] [Originally Added On: November 26th, 2019]
- Verification In The Era Of Autonomous Driving, Artificial Intelligence And Machine Learning - SemiEngineering [Last Updated On: November 26th, 2019] [Originally Added On: November 26th, 2019]
- Podcast: How artificial intelligence, machine learning can help us realize the value of all that genetic data we're collecting - Genetic Literacy... [Last Updated On: November 28th, 2019] [Originally Added On: November 28th, 2019]
- The Real Reason Your School Avoids Machine Learning - The Tech Edvocate [Last Updated On: November 28th, 2019] [Originally Added On: November 28th, 2019]
- Siri, Tell Fido To Stop Barking: What's Machine Learning, And What's The Future Of It? - 90.5 WESA [Last Updated On: November 28th, 2019] [Originally Added On: November 28th, 2019]
- Microsoft reveals how it caught mutating Monero mining malware with machine learning - The Next Web [Last Updated On: November 28th, 2019] [Originally Added On: November 28th, 2019]
- The role of machine learning in IT service management - ITProPortal [Last Updated On: November 28th, 2019] [Originally Added On: November 28th, 2019]
- Global Director of Tech Exploration Discusses Artificial Intelligence and Machine Learning at Anheuser-Busch InBev - Seton Hall University News &... [Last Updated On: November 28th, 2019] [Originally Added On: November 28th, 2019]
- The 10 Hottest AI And Machine Learning Startups Of 2019 - CRN: The Biggest Tech News For Partners And The IT Channel [Last Updated On: November 28th, 2019] [Originally Added On: November 28th, 2019]
- Startup jobs of the week: Marketing Communications Specialist, Oracle Architect, Machine Learning Scientist - BetaKit [Last Updated On: November 30th, 2019] [Originally Added On: November 30th, 2019]
- Here's why machine learning is critical to success for banks of the future - Tech Wire Asia [Last Updated On: December 2nd, 2019] [Originally Added On: December 2nd, 2019]
- 3 questions to ask before investing in machine learning for pop health - Healthcare IT News [Last Updated On: December 8th, 2019] [Originally Added On: December 8th, 2019]
- Machine Learning Answers: If Caterpillar Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 8th, 2019] [Originally Added On: December 8th, 2019]
- Measuring Employee Engagement with A.I. and Machine Learning - Dice Insights [Last Updated On: December 8th, 2019] [Originally Added On: December 8th, 2019]
- Amazon Wants to Teach You Machine Learning Through Music? - Dice Insights [Last Updated On: December 8th, 2019] [Originally Added On: December 8th, 2019]
- Machine Learning Answers: If Nvidia Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 8th, 2019] [Originally Added On: December 8th, 2019]
- AI and machine learning platforms will start to challenge conventional thinking - CRN.in [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- Machine Learning Answers: If Twitter Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- Machine Learning Answers: If Seagate Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- Machine Learning Answers: If BlackBerry Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- Amazon Releases A New Tool To Improve Machine Learning Processes - Forbes [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- Another free web course to gain machine-learning skills (thanks, Finland), NIST probes 'racist' face-recog and more - The Register [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- Kubernetes and containers are the perfect fit for machine learning - JAXenter [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- TinyML as a Service and machine learning at the edge - Ericsson [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- AI and machine learning products - Cloud AI | Google Cloud [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- Machine Learning | Blog | Microsoft Azure [Last Updated On: December 23rd, 2019] [Originally Added On: December 23rd, 2019]
- Machine Learning in 2019 Was About Balancing Privacy and Progress - ITPro Today [Last Updated On: December 25th, 2019] [Originally Added On: December 25th, 2019]
- CMSWire's Top 10 AI and Machine Learning Articles of 2019 - CMSWire [Last Updated On: December 25th, 2019] [Originally Added On: December 25th, 2019]
- Here's why digital marketing is as lucrative a career as data science and machine learning - Business Insider India [Last Updated On: January 13th, 2020] [Originally Added On: January 13th, 2020]
- Dell's Latitude 9510 shakes up corporate laptops with 5G, machine learning, and thin bezels - PCWorld [Last Updated On: January 13th, 2020] [Originally Added On: January 13th, 2020]
- Finally, a good use for AI: Machine-learning tool guesstimates how well your code will run on a CPU core - The Register [Last Updated On: January 13th, 2020] [Originally Added On: January 13th, 2020]
- Cloud as the enabler of AI's competitive advantage - Finextra [Last Updated On: January 13th, 2020] [Originally Added On: January 13th, 2020]
- Forget Machine Learning, Constraint Solvers are What the Enterprise Needs - - RTInsights [Last Updated On: January 13th, 2020] [Originally Added On: January 13th, 2020]
- Informed decisions through machine learning will keep it afloat & going - Sea News [Last Updated On: January 13th, 2020] [Originally Added On: January 13th, 2020]
- The Problem with Hiring Algorithms - Machine Learning Times - machine learning & data science news - The Predictive Analytics Times [Last Updated On: January 13th, 2020] [Originally Added On: January 13th, 2020]
- New Program Supports Machine Learning in the Chemical Sciences and Engineering - Newswise [Last Updated On: January 13th, 2020] [Originally Added On: January 13th, 2020]
- AI-System Flags the Under-Vaccinated in Israel - PrecisionVaccinations [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- New Contest: Train All The Things - Hackaday [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- AFTAs 2019: Best New Technology Introduced Over the Last 12 MonthsAI, Machine Learning and AnalyticsActiveViam - www.waterstechnology.com [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- Educate Yourself on Machine Learning at this Las Vegas Event - Small Business Trends [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- Seton Hall Announces New Courses in Text Mining and Machine Learning - Seton Hall University News & Events [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- Looking at the most significant benefits of machine learning for software testing - The Burn-In [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- Leveraging AI and Machine Learning to Advance Interoperability in Healthcare - - HIT Consultant [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- Adventures With Artificial Intelligence and Machine Learning - Toolbox [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- Five Reasons to Go to Machine Learning Week 2020 - Machine Learning Times - machine learning & data science news - The Predictive Analytics Times [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- Uncover the Possibilities of AI and Machine Learning With This Bundle - Interesting Engineering [Last Updated On: January 22nd, 2020] [Originally Added On: January 22nd, 2020]
- Learning that Targets Millennial and Generation Z - HR Exchange Network [Last Updated On: January 23rd, 2020] [Originally Added On: January 23rd, 2020]
- Red Hat Survey Shows Hybrid Cloud, AI and Machine Learning are the Focus of Enterprises - Computer Business Review [Last Updated On: January 23rd, 2020] [Originally Added On: January 23rd, 2020]
- Vectorspace AI Datasets are Now Available to Power Machine Learning (ML) and Artificial Intelligence (AI) Systems in Collaboration with Elastic -... [Last Updated On: January 23rd, 2020] [Originally Added On: January 23rd, 2020]
- What is Machine Learning? | Types of Machine Learning ... [Last Updated On: January 23rd, 2020] [Originally Added On: January 23rd, 2020]
- How Machine Learning Will Lead to Better Maps - Popular Mechanics [Last Updated On: January 30th, 2020] [Originally Added On: January 30th, 2020]
- Jenkins Creator Launches Startup To Speed Software Testing with Machine Learning -- ADTmag - ADT Magazine [Last Updated On: January 30th, 2020] [Originally Added On: January 30th, 2020]
- An Open Source Alternative to AWS SageMaker - Datanami [Last Updated On: January 30th, 2020] [Originally Added On: January 30th, 2020]
- Machine Learning Could Aid Diagnosis of Barrett's Esophagus, Avoid Invasive Testing - Medical Bag [Last Updated On: January 30th, 2020] [Originally Added On: January 30th, 2020]
- OReilly and Formulatedby Unveil the Smart Cities & Mobility Ecosystems Conference - Yahoo Finance [Last Updated On: January 30th, 2020] [Originally Added On: January 30th, 2020]