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πŸ‘3 mysteries of the universe β€” and a new force that might explain them
🧠Alex Keshavarzi
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£We're still in the dark about what 95 percent of our universe is made of β€” and the standard model for understanding particle physics has hit a limit. What's the next step forward? Particle physicist Alex Keshavarzi digs into the first results of the Muon g-2 experiment at Fermilab in Chicago, which found compelling evidence of new particles or forces existing in our universe β€” a finding that could act as a window into the subatomic world and deepen our understanding of the fabric of reality.
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#science #physics #energy #universe #technology #math #dark_matter #astronomy #TEDx

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πŸ‘The miracle of organ donation β€” and a breakthrough for the future
🧠Abbas Ardehali
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£Organ transplants save lives, but they come with challenges: every minute a healthy donated organ is on ice increases risk. And even if things go perfectly, rejection of the organ is still possible. Cardiothoracic surgeon Abbas Ardehali introduces cutting-edge medical advances in machine perfusion β€” a portable platform that keeps organs alive outside of the body β€” that could help put time back on the patient's side.
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#technology #medicine #health_care #education #health #human_body #innovation #heart #Surgery

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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‘How aerosols brighten clouds β€” and cool the planet
🧠Sarah J. Doherty
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£Here's a conundrum: the same aerosol pollutants that harm human health also help cool the climate, says atmospheric scientist Sarah J. Doherty. Is there a way to clean up the air without warming the planet? Exploring the unintended consequences of reducing air pollution, she makes the case for a better understanding of marine cloud brightening β€” or intentionally adding sea salt aerosols to clouds over the ocean, which could reflect sunlight back into space and potentially reduce global warming.
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#science #tech #technology #pollution #health #environment #climate_change

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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‘With AI, anyone can be a coder now
🧠Thomas Dohmke
πŸ—£Subtitle: πŸ‡¬πŸ‡§English

πŸ‘£What if you could code just by talking out loud? GitHub CEO Thomas Dohmke shows how, thanks to AI, the barrier to entry to coding is rapidly disappearing β€” and creating software is becoming as simple (and joyful) as building LEGO. In a mind-blowing live demo, he introduces Copilot Workspace: an AI assistant that helps you create code when you speak to it, in any language.
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#technology #code #tech #innovation #AI #future #education #software #computers

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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‘The tech that seems to break the laws of physics
🧠Anna Rothschild
πŸ—£Subtitle: πŸ‡¬πŸ‡§English | πŸ‡ΉπŸ‡·Turkish

πŸ‘£Typically, with any piece of technology, you pump one unit of energy in and you get about one out. That’s just the first law of thermodynamics: energy has to be conserved. But there’s a piece of technology called a heat pump, where for every bit of energy you put in, you get three to five times as much heat out. What wizardry is this? Anna Rothschild investigates the science of heat pumps. [Directed by Kevin Herrmann, AIM Creative Studios, narrated by Pen-Pen Chen, music by AndrΓ© Aires].
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#TED_Ed #education #animation #technology #energy #renewable_energy #electricity #physics #science

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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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