Artificial intelligence

342 cards. Each one is a 40-second story with a five-minute read behind it. Page 2 of 6.

  1. Small molecules hold the secrets to our most complex diseasesWhile we often focus on genes, the metabolites in our bodies—like glucose and cholesterol—drive many illnesses. This video explores how AI can decode these mysterious molecules to…
  2. The shared fallibility of human and machine creativityArtist Sougwen Chung explores the intersection of human expression and machine learning. She reveals how she trained a robot to replicate her unique artistic style and what she di…
  3. Why replacing human decision-makers with AI might actually decrease business efficiencyAs companies use artificial intelligence to streamline critical decisions, they risk creating new inefficiencies. Business technologist Sylvain Durostan explores how a 'Human plus…
  4. Why we must adopt a new rule: take no machine's word for itAs computers become more powerful, we risk outsourcing our objectivity to machines that inherit our own flaws. To ensure our future isn't built on metaphorical sand, we must move …
  5. Are we becoming more comfortable with robots taking over our lives?From household cleaners to the possibility of uploading our brains for eternal life, technology strategist Lucy Fareay-Jones examines how our acceptance of AI is shifting.
  6. AI is designing entirely new classes of antibiotics to fight superbugsAs antibiotic resistance threatens to kill 10 million people annually by 2050, traditional drug discovery is failing. But at MIT, researchers are using generative AI to explore va…
  7. Why brute computing force alone cannot solve our greatest problemsData mining innovator Shyam Sankar explores why complex global challenges require more than just faster algorithms. This video examines the necessary shift from viewing computers …
  8. Will the Internet eventually make professional expertise obsolete?We are entering an era where technology is moving from mere efficiency to total transformation. As systems become increasingly capable, we face a profound question: will we still …
  9. Can we design artificial intelligence that remains ethical, secure, and environmentally conscious?As artificial intelligence becomes increasingly integrated into daily life, expert Genevieve Bell proposes six essential inquiries to guide its development. This talk encourages v…
  10. Can artificial intelligence bridge the global gap for the marginalized?Jamila Gordon explores how AI can serve as a tool for social equity. Drawing from her personal journey as a refugee, she illustrates how technology can empower disadvantaged peopl…
  11. Why your AI is only as good as its bad dataAs algorithms begin to power the global economy, they are inheriting our worst biases. Data scientist Mainak Mazumdar explores how low-quality data creates flawed AI and identifie…
  12. Why competing with machines might be the wrong way to futureproofAs AI and automation reshape the workforce, many believe the solution is to master technical skills like coding or engineering. Kevin Roose argues for a different strategy: leanin…
  13. Decoding the clicks: can AI bridge the gap between humans and whales?Sperm whales communicate through complex vocalizations known as codas. While these sounds have long baffled researchers, a new interdisciplinary effort is using machine learning t…
  14. Can a silicon brain ever truly replicate the human mind?Professor Martyn Thomas CBE explores the existential questions surrounding artificial intelligence. The lecture examines whether AI poses a genuine threat to humanity or if there …
  15. Beyond Siri and Alexa: What is the next generation of digital helpers?Virtual assistants are already part of our daily lives. This video explores the future of voice technology and the two major engineering hurdles that must be overcome to create tr…
  16. Could AI-powered vehicles eliminate the need for personal parking?Freeman H. Shen explores a future where autonomous electric vehicles solve the most persistent headaches of modern driving. Watch to see how AI could potentially erase traffic con…
  17. Why the future of artificial intelligence might be brighter than we fearSci-fi writer Chen Qiufan challenges the prevailing narrative of a dystopian future. He explores how AI developments could fundamentally improve human health, safety, and daily li…
  18. Your smartphone photos could be the key to saving endangered speciesWe are losing biodiversity at an unprecedented rate, making it difficult for scientists to track threatened wildlife. This talk explains how your personal photos and videos can be…
  19. Why invisible gases require artificial intelligence to be measuredGreenhouse gases are naturally difficult to track because they lack color, scent, and visibility. Charlotte Degot explains how green technology is leveraging AI to turn massive, c…
  20. The gap between AI performance and true understandingJeff Dean, the head of Google's AI efforts, breaks down what artificial intelligence actually is. He moves past the hype to explain how current systems work and what it will take …
  21. Is the fundamental building block of our entire universe actually just digital information?Physicist John Wheeler proposed that the universe is composed of bits rather than physical particles or forces. This lecture examines the implications of that theory for artificia…
  22. Could a digital companion learn your life story to become your personal assistant?Professor Yorick Wilks explores the concept of artificial companions: long-term software agents designed to live within devices, from screens to toys. These agents aim to understa…
  23. Why do machines struggle to understand human speech while we find it so effortless?Richard Harvey explores the technical hurdles that kept talking computers in the realm of science fiction for decades. This lecture examines why speech processing remains a daunti…
  24. Could childhood malnutrition fuel a global cycle of violence and behavioral disruption?Professor Jacqueline McGlade examines the severe long-term consequences of under-nutrition, which contributes to half of all child deaths. This lecture explores whether malnutriti…
  25. The World Wide Web was never the original goal of its creator, Tim Berners-Lee.We treat the web as a vast library, but it lacks true comprehension. Tim Berners-Lee originally envisioned a Semantic Web, where machines understand content rather than just displ…
  26. Why modern machines still struggle to distinguish between a human wife and a hatHuman vision feels effortless, yet machines frequently fail at basic object recognition. While we intuitively understand the physical world, computers often misinterpret scenes in…
  27. The real danger of AI may not be a robot uprisingWhile many fear a superintelligent takeover, the true ethical challenges of artificial intelligence might be far more intimate. Beyond the sci-fi tropes of sentient machines, we f…
  28. Can we program machines to produce original music?For over 170 years, thinkers have debated whether artificial creativity is possible, or if the true spark of genius belongs solely to the human programmer.
  29. Why your favorite translation app still gets things wrongWe use machine translation daily, but the leap from human speech to computer code is far from perfect. This video explores the mechanics behind these programs and the reasons they…
  30. Who should a car choose to save in an unavoidable crash?As autonomous vehicles become a reality, engineers face a profound moral hurdle: how should a car be programmed to react when an accident is inevitable? This video explores the co…
  31. Robots that evolve like lifeforms to survive the unpredictable wildImagine a robot that doesn't just follow instructions but adapts, heals, and evolves. By replicating the mechanics of biological evolution, researchers are creating modular machin…
  32. Can we redesign companies for human and machine collaboration?Explore how the union of AI's data-driven power and human ingenuity can reshape the future of work and create a symbiotic learning environment.
  33. Could an AI clone expand the boundaries of human musical expression?Imagine stepping onto a stage and instantly adopting the unmistakable timbre of a world-class vocalist. Experimental composer Holly Herndon has turned this concept into reality, u…
  34. Why predicting a flash flood is harder than predicting a stormHeavy rain doesn't always equal a disaster. The difference between a manageable downpour and a catastrophic flash flood often lies in the hidden geography of the land—how porous t…
  35. Why implementation is the first hurdle for AI in the classroomWhen new technology enters schools, measuring success isn't the first step. According to Kristen DiCerbo, Chief Learning Officer at Khan Academy, the real challenge lies in unders…
  36. Is deep learning a genuine miracle or just another false dawn?Explore the mechanics of deep neural networks and the history of brain-inspired machine learning. Professor Richard Harvey examines whether these modern technologies represent a s…
  37. Opening the black box of human learning with artificial intelligenceWe often treat learning as a mysterious, internal process. But what if we could map it? By applying AI to educational design, researchers are moving beyond simple automation towar…
  38. How artificial intelligence is reshaping the way we teach and learnThis presentation investigates how AI currently functions within educational settings and its capacity for profound change. Professor Rose Luckin investigates how the rise of inte…
  39. Beyond Keywords: How Machines Extract Meaning From the Chaos of Human LanguageText is the king of the internet jungle—compact, portable, and incredibly expressive. Yet, teaching a computer to understand it is a remarkably tricky problem. While search engine…
  40. Beyond the robot uprising: the deeper ethical architecture of AIWhile popular culture fixates on superintelligent machines turning against humanity, the real challenge is more nuanced. The true friction lies in how we manage automated idleness…
  41. Are computers killing creativity or simply providing a new digital canvas?While critics often parody computers as machines that destroy human ingenuity, the reality is more complex. Many modern creative works are now entirely digital or heavily reliant …
  42. The ethical dilemma of fully autonomous weapons and the military-industrial complexThis lecture by Professor Yorick Wilks examines the rise of AI-driven weaponry. It explores the moral tension between state protection and corporate responsibility, while investig…
  43. The ethical dilemma of fully autonomous weapons and the military-industrial complexIn this lecture, Yorick Wilks examines the rise of AI-driven weaponry and the profound moral questions surrounding their deployment, from state responsibility to corporate account…
  44. The irony of surrendering: tracing a modern meme to its rootsHave you ever wondered about the origin of the sarcastic submission we use when facing overwhelming power? This video explores how a specific phrase became a cultural shorthand fo…
  45. Can a machine truly think, or just mimic human conversation?Instead of debating the mysteries of consciousness, Alan Turing proposed a simple way to measure machine intelligence. This video explores his famous test and the surprising ways …
  46. Could future robots learn to decode your every emotion?While computers already master board games and object recognition, a new frontier awaits: emotional intelligence. This video explores the potential for machines to accurately iden…
  47. Democratizing intelligence: Why AI belongs in your local pizza shopArtificial intelligence is often viewed as an exclusive tool for tech giants with massive budgets. Andrew Ng argues that this perspective is outdated, exploring how small business…
  48. Can artificial intelligence help us see beyond our own human limits?Neural artist Sofia Crespo uses a blend of technology, nature, and art to manifest creatures that have never existed. This video explores how AI-generated chimeras can push the bo…
  49. Why the secrets of insect brains could revolutionize artificial intelligenceNeuroscientist Frances S. Chance explores how the complex neural architectures of tiny insects might hold the blueprint for the next generation of computing. By studying how these…
  50. How machines calculate the perfect move in adversarial gamesExplore the foundational logic behind computer chess. This lecture from MIT's Artificial Intelligence course breaks down how algorithms navigate complex decision trees to outmaneu…
  51. The mathematical architecture behind modern artificial intelligenceThis MIT lecture breaks down the core formulas that power neural networks. It moves from theoretical derivatives to practical application, showing how machines actually learn thro…
  52. How to mathematically maximize the width of a decision streetIn this lecture from MIT's Artificial Intelligence course, instructor Patrick Winston explores the mathematical mechanics behind Support Vector Machines and how they separate data.
  53. How logic-based systems navigate complex decision treesExplore the foundational mechanics of rule-based AI through an MIT mega-recitation. This session breaks down how machines use assertions and chaining to solve problems systematica…
  54. How to build a stronger classifier through iterative boostingLearn the mechanics of boosting using this MIT OpenCourseWare mega-recitation. This session demonstrates how to sequentially adjust weights across multiple rounds to derive a fina…
  55. How combining multiple weak classifiers creates a single powerful intelligenceCan several mediocre predictors be synthesized into one highly accurate system? This MIT lecture explores the boosting algorithm, a mathematical approach to machine learning that …
  56. How algorithms navigate complexity to find the shortest pathExplore the fundamental strategies used in artificial intelligence to solve search problems efficiently, from basic branching techniques to the sophisticated A* algorithm.
  57. How the brain learns from failure: The logic of near missesWhy does a 'close call' teach us more than a perfect success? This MIT lecture explores how models—both human and artificial—evolve by analyzing near misses to master complex conc…
  58. How AI models navigate uncertainty using causal relationshipsThis lecture explores how artificial intelligence manages uncertainty by modeling the underlying causes of events. It moves from basic probability to complex belief nets, showing …
  59. Mastering the logic behind strategic decision-making in gamesExplore the fundamental algorithms that allow computers to play complex games. This MIT recitation breaks down the mechanics of tree searches and the optimization techniques used …
  60. How machines and minds learn to recognize the worldFrom the way infants develop visual capabilities to the evolution of artificial intelligence, understanding how we identify objects is a complex puzzle. Is recognition a matter of…

All of Ideas & Philosophy Open the feed Latest A–Z