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πŸ‘How I'm using biological data to tell better stories -- and spark social change
πŸ—£Subtitle: Farsi | English | Turkish

πŸ‘£What kinds of stories move us to act? To answer this question, creative technologist Heidi Boisvert is measuring how people's brains and bodies unconsciously respond to different media. She shows how she's using this data to determine the specific narrative ingredients that inspire empathy and justice -- and spark large-scale social change.
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#TED_Residency #media #society #AI #science #machine_learning #empathy #social_change #TED_Residency

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πŸ‘Can we build AI without losing control over it?
πŸ—£Subtitle: Farsi | English | Turkish

πŸ‘£Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris -- and not just in some theoretical way. We're going to build superhuman machines, says Harris, but we haven't yet grappled with the problems associated with creating something that may treat us the way we treat ants.
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#TEDSummit #brain #AI #choice #history #future #humanity #innovation #intelligence #invention #mind #machine_learning

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πŸ‘How does artificial intelligence learn?
🧠Brianna Brownell
πŸ—£Subtitle: πŸ‡ΉπŸ‡·Turkish | πŸ‡¬πŸ‡§English

πŸ‘£Today, artificial intelligence helps doctors diagnose patients, pilots fly commercial aircraft, and city planners predict traffic. These AIs are often self-taught, working off a simple set of instructions to create a unique array of rules and strategies. So how exactly does a machine learn? Briana Brownell digs into the three basic ways machines investigate, negotiate, and communicate. [Directed by Champ Panupong Techawongthawon, narrated by Safia Elhillo, music by Ambrose Yu].

Strobe effects warning: Please note that this animation features flashing lights and colors from 1:52 to 1:56
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#TED_Education #Brianna_Brownell #education #AI #TED_Ed #animation #machine_learning #innovation #technology #invention

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πŸ‘Your self-driving robotaxi is almost here
🧠Aicha Evans
πŸ—£Subtitle: πŸ‡ΉπŸ‡·Turkish | πŸ‡¬πŸ‡§English

πŸ‘£We've been hearing about self-driving cars for years, but autonomous vehicle entrepreneur Aicha Evans thinks we need to dream more daringly. In this exciting talk, she introduces us to robotaxis: fully autonomous, eco-friendly shuttles that would take you from place to place and take up less space on the streets than personal cars. Learn how this new technology works -- and what a future where we hail robotaxis would look like.
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#TEDMonterey #Aicha_Evans #transportation #science #technology #computers #machine_learning #driverless_cars #future

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πŸ‘Art in the age of machine intelligence
🧠Refik Anadol
πŸ—£Subtitle: πŸ‡ΉπŸ‡·Turkish | πŸ‡¬πŸ‡§English

πŸ‘£What does it look like inside the mind of a machine? Inspired by the architectural vision of a futuristic Los Angeles in "Blade Runner," media artist Refik Anadol melds art with artificial intelligence in his studio's collaborations with architects, data scientists, neuroscientists, musicians and more. Witness otherworldly installations that might make you rethink the future of tech and creativity.
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#TED2020 #Refik_Anadol #AI #creativity #art #technology #computers #architecture #future #machine_learning

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πŸ‘How to get better at video games, according to babies
🧠Brian Christian
πŸ—£Subtitle: πŸ‡ΉπŸ‡·Turkish | πŸ‡¬πŸ‡§English

πŸ‘£In 2013, a group of researchers wanted to create an AI system that could beat every Atari game. They developed a system called Deep Q Networks (DQN) and less than two years later, it was superhuman. But there was one notable exception. When playing Montezuma's Revenge, DQN couldn't score a single point. What was it that made this game so vexingly difficult for AI? Brian Christian investigates. [Directed by Gavin Edwards, Movult, narrated by Jack Cutmore-Scott, music by Salil Bhayani, cAMP Studio].
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#TED_Education #Brian_Christian #TED_Ed #education #brain #animation #AI #machine_learning #computers

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πŸ‘How we're using AI to discover new antibiotics
🧠Jim Collins
πŸ—£Subtitle: πŸ‡ΉπŸ‡·Turkish | πŸ‡¬πŸ‡§English

πŸ‘£Before the coronavirus pandemic, bioengineer Jim Collins and his team combined the power of AI with synthetic biology in an effort to combat a different looming crisis: antibiotic-resistant superbugs. Collins explains how they pivoted their efforts to begin developing a series of tools and antiviral compounds to help fight COVID-19 -- and shares their plan to discover seven new classes of antibiotics over the next seven years. (This ambitious plan is part of The Audacious Project, TED's initiative to inspire and fund global change.)
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#TED2020 #Jim_Collins #AI #virus #synthetic_biology #machine_learning #Vaccines #coronavirus #medical_research #public_health

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πŸ‘Intelligent floating machines inspired by nature
🧠Anicka Yi
πŸ—£Subtitle: πŸ‡¬πŸ‡§English | πŸ‡ΉπŸ‡·Turkish

πŸ‘£Taking cues from soft robotics and the natural world, conceptual artist Anicka Yi builds lighter-than-air machines that roam and react like autonomous life forms. Her floating "aerobes" inspire us to think about new ways of living with machines -- and to ponder how they could evolve into living creatures. "What if our machines could be more than just our tools, and instead, a new type of companion species?" she asks.
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#art #technology #future #creativity #machine_learning #computers #robots #AI

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πŸ‘How AI could empower any business
🧠Andrew Ng
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£Expensive to build and often needing highly skilled engineers to maintain, artificial intelligence systems generally only pay off for large tech companies with vast amounts of data. But what if your local pizza shop could use AI to predict which flavor would sell best each day of the week? Andrew Ng shares a vision for democratizing access to AI, empowering any business to make decisions that will increase their profit and productivity. Learn how we could build a richer society – all with just a few self-provided data points.
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#technology #AI #data #business #entrepreneur #engineering #machine_learning #innovation #software

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πŸ‘Why AI is incredibly smart and shockingly stupid
🧠Yejin Choi
πŸ—£Subtitle: πŸ‡¬πŸ‡§English | πŸ‡ΉπŸ‡·Turkish

πŸ‘£Computer scientist Yejin Choi is here to demystify the current state of massive artificial intelligence systems like ChatGPT, highlighting three key problems with cutting-edge large language models (including some funny instances of them failing at basic commonsense reasoning.) She welcomes us into a new era in which AI is becoming almost like a new intellectual species -- and identifies the benefits of building smaller AI systems trained on human norms and values. (Followed by a Q&A with head of TED Chris Anderson)
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#AI #machine_learning #technology #science #teaching #future #innovation #ethics #humanity

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πŸ‘The incredible creativity of deepfakes -- and the worrying future of AI
🧠Tom Graham
πŸ—£Subtitle: πŸ‡¬πŸ‡§English | πŸ‡ΉπŸ‡·Turkish

πŸ‘£AI-generated media that looks and sounds exactly like the real world will soon permeate our lives. How should we prepare for it? AI developer Tom Graham discusses the extraordinary power of this rapidly advancing technology, demoing cutting-edge examples -- including real-time face swaps and voice cloning -- live from the TED stage. In conversation with head of TED Chris Anderson, Graham digs into the creative potential of this hyperreal content (often referred to as "deepfakes") as well as its risk for exploitation and the new legal rights we'll need in order to maintain control over our photorealistic AI avatars.
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#AI #technology #computers #media #data #machine_learning #future #software #entertainment

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πŸ‘Does AI actually understand us?
🧠Alona Fyshe
πŸ—£Subtitle: πŸ‡¬πŸ‡§English | πŸ‡ΉπŸ‡·Turkish

πŸ‘£Is AI as smart as it seems? Exploring the "brain" behind machine learning, neural networker Alona Fyshe delves into the language processing abilities of talkative tech (like the groundbreaking chatbot and internet obsession ChatGPT) and explains how different it is from your own brain -- even though it can sound convincingly human.
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#emotions #AI #technology #innovation #humanity #machine_learning #language

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πŸ‘The transformative potential of AGI β€” and when it might arrive
🧠Shane Legg and Chris Anderson
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£As the cofounder of Google DeepMind, Shane Legg is driving one of the greatest transformations in history: the development of artificial general intelligence (AGI). He envisions a system with human-like intelligence that would be exponentially smarter than today's AI, with limitless possibilities and applications. In conversation with head of TED Chris Anderson, Legg explores the evolution of AGI, what the world might look like when it arrives β€” and how to ensure it's built safely and ethically.
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#AI #technology #machine_learning #science #future #computers #innovation

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πŸ‘3 ways to use AI without replacing your coworkers
🧠Madison Mohns
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£As companies introduce AI into the workplace to increase productivity, an uncomfortable paradox is emerging: people are often responsible for training the very systems that might displace them. AI ethics advocate Madison Mohns presents three leadership principles to embrace technological progress while prioritizing your coworkers' well-being β€” paving the way for a future where AI enhances human potential.
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#AI #ethics #work #computers #machine_learning

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πŸ‘AI and the paradox of self-replacing workers
🧠Madison Mohns
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£As companies introduce AI into the workplace to increase productivity, an uncomfortable paradox is emerging: people are often responsible for training the very systems that might displace them. AI ethics advocate Madison Mohns presents three leadership principles to embrace technological progress while prioritizing your coworkers' well-being β€” paving the way for a future where AI enhances human potential.
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#AI #ethics #work #computers #machine_learning

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πŸ‘How to govern AI β€” even if it's hard to predict
🧠Helen Toner
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£No one truly understands AI, not even experts, says Helen Toner, an AI policy researcher and former board member of OpenAI. But that doesn't mean we can't govern it. She shows how we can make smart policies to regulate this technology even as we struggle to predict where it's headed β€” and why the right actions, right now, can shape the future we want.
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#AI #technology #policy #machine_learning #computers #future #innovation

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πŸ‘Would you use a machine that predicts your future?
🧠Thomas Hofweber
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£A couple has been considering getting engaged, but they’re worried about divorce statistics. An AI-based model was just released that can predict your likelihood of divorce with 95% accuracy. The only catch is the model doesn’t offer any reasons for its results. So, should they decide whether or not to get married based on this AI’s prediction? Thomas Hofweber explores AI’s transparency problem. [Directed by Hannah Lau-Walker, narrated by Addison Anderson, music by Phil Brookes].
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#TED_Ed #education #animation #AI #technology #machine_learning #relationships #ethics

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πŸ‘Could AI predict the future?
🧠Thomas Hofweber
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£A couple has been considering getting engaged, but they’re worried about divorce statistics. An AI-based model was just released that can predict your likelihood of divorce with 95% accuracy. The only catch is the model doesn’t offer any reasons for its results. So, should they decide whether or not to get married based on this AI’s prediction? Thomas Hofweber explores AI’s transparency problem. [Directed by Hannah Lau-Walker, narrated by Addison Anderson, music by Phil Brookes].
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#TED_Ed #education #animation #AI #technology #machine_learning #relationships #ethics

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πŸ‘12 predictions for the future of technology
🧠Vinod Khosla
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£Techno-optimist Vinod Khosla believes in the world-changing power of "foolish ideas." He offers 12 bold predictions for the future of technology β€” from preventative medicine to car-free cities to planes that get us from New York to London in 90 minutes β€” and shows why a world of abundance awaits.
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#technology #future #AI #computers #machine_learning #innovation

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πŸ‘Why AI needs a "nutrition label"
🧠Kasia Chmielinski
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£What do sandwiches have to do with AI? Data reformist Kasia Chmielinski helps us think about artificial intelligence with a useful food metaphor β€” and breaks down why AI systems should have "nutrition labels" to ensure the development of fairer, more transparent algorithms.
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#AI #technology #machine_learning #data #computers #software #policy

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