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Temporada 2019
2019x1
Been Kim: A New Approach to Understanding How Machines Think
Episode overview
Fecha de emisión
Ene 10, 2019
Google Brain’s Been Kim is building ways to let us interrogate the decisions made by machine learning systems.
Google Brain’s Been Kim is building ways to let us interrogate the decisions made by machine learning systems.
Fecha de emisión
Ene 22, 2019
Carolina Araujo describes the effort to build a network of women mathematicians in Brazil.
Carolina Araujo describes the effort to build a network of women mathematicians in Brazil.
Fecha de emisión
Feb 04, 2019
Priyamvada Natarajan explains the role of supermassive black holes in the structure and evolution of the universe.
Priyamvada Natarajan explains the role of supermassive black holes in the structure and evolution of the universe.
Fecha de emisión
Feb 11, 2019
Meenakshi Wadhwa explains how meteorites illuminate the origins of Earth and the rest of the solar system.
Meenakshi Wadhwa explains how meteorites illuminate the origins of Earth and the rest of the solar system.
Fecha de emisión
Feb 27, 2019
Jennifer Doudna, one of the coinventors of CRISPR technology, discusses how her work on bacterial defenses against viruses helped lead to a discovery with a revolutionary impact on biological research.
Jennifer Doudna, one of the coinventors of CRISPR technology, discusses how her work on bacterial defenses against viruses helped lead to a discovery with a revolutionary impact on biological research.
Fecha de emisión
Mar 21, 2019
Jennifer Dunne of the Santa Fe Institute explains how reconstructions of food webs in past ecosystems help ecologists understand both the unusual niche of humans and new clues to a more sustainable civilization.
Jennifer Dunne of the Santa Fe Institute explains how reconstructions of food webs in past ecosystems help ecologists understand both the unusual niche of humans and new clues to a more sustainable civilization.
Fecha de emisión
Abr 23, 2019
The lauded astronomer Jim Gunn explains how a new spectrograph he is building will advance astronomy.
The lauded astronomer Jim Gunn explains how a new spectrograph he is building will advance astronomy.
Fecha de emisión
May 13, 2019
Quanta’s In Theory video series returns with an exploration of the mysterious mathematical pattern found throughout nature.
Quanta’s In Theory video series returns with an exploration of the mysterious mathematical pattern found throughout nature.
Fecha de emisión
May 14, 2019
The brilliant physicist Richard Feynman devised a system of line drawings that simplified calculations of particle interactions and helped rescue the field of quantum electrodynamics.
The brilliant physicist Richard Feynman devised a system of line drawings that simplified calculations of particle interactions and helped rescue the field of quantum electrodynamics.
Fecha de emisión
May 15, 2019
Edward O. Wilson, professor emeritus at Harvard University, is the influential naturalist and evolutionary theorist who introduced the concept of “sociobiology,” as well as one of the
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Edward O. Wilson, professor emeritus at Harvard University, is the influential naturalist and evolutionary theorist who introduced the concept of “sociobiology,” as well as one of the world’s leading experts on ants. Here, he explains the relevance of evolved insect behaviors to human nature.
Fecha de emisión
Jun 13, 2019
The mathematician Amie Wilkinson explains how dynamics lets mathematicians explore the fundamentals of change.
The mathematician Amie Wilkinson explains how dynamics lets mathematicians explore the fundamentals of change.
2019x13
Lee Smolin on the Impossibility of Studying the Universe
Episode overview
Fecha de emisión
Jun 27, 2019
Lee Smolin explores the problem of understanding the universe from the perspective of being inside the universe, as well as the need for physicists to know philosophy.
Lee Smolin explores the problem of understanding the universe from the perspective of being inside the universe, as well as the need for physicists to know philosophy.
Fecha de emisión
Jul 24, 2019
Greg Johnson, a computer vision researcher at the Allen Institute for Cell Science, explains how his deep learning vision systems can advance the state of cell biology
Greg Johnson, a computer vision researcher at the Allen Institute for Cell Science, explains how his deep learning vision systems can advance the state of cell biology
Fecha de emisión
Ago 07, 2019
Carlo Rubbia explains why he thinks particle physicists should take the next step by building a “Higgs factory.”
Carlo Rubbia explains why he thinks particle physicists should take the next step by building a “Higgs factory.”
Fecha de emisión
Ago 27, 2019
The behavior of algorithms is so complex and surprising that we need to study them as though they were animals in the wild.
The behavior of algorithms is so complex and surprising that we need to study them as though they were animals in the wild.
2019x17
Craig Callender on the Trouble With Black Hole Thermodynamics
Episode overview
Fecha de emisión
Sept 05, 2019
Craig Callender explains why the connection between black holes and thermodynamics is little more than an analogy.
Craig Callender explains why the connection between black holes and thermodynamics is little more than an analogy.
Fecha de emisión
Sept 25, 2019
Wehner discusses the advantages of transmitting qubits rather than bits across a long-distance communication network.
Wehner discusses the advantages of transmitting qubits rather than bits across a long-distance communication network.
Fecha de emisión
Nov 11, 2019
Virginia Trimble discusses how astronomy has changed over the course of her half-century career.
Virginia Trimble discusses how astronomy has changed over the course of her half-century career.
2019x20
Final de temporada
Barbara Liskov on the Future of Computer Science
Episode overview
Fecha de emisión
Nov 20, 2019
Barbara Liskov addresses the challenges that confront computer science.
Barbara Liskov addresses the challenges that confront computer science.
Fecha de emisión
Ene 28, 2020
Physicists use the Navier-Stokes equations to describe fluid flows, taking into account viscosity, velocity, pressure and density. But because of turbulence in fluids, proving that the
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Physicists use the Navier-Stokes equations to describe fluid flows, taking into account viscosity, velocity, pressure and density. But because of turbulence in fluids, proving that the equations always make sense is one of the hardest problems in physics and mathematics.
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