Explainers
Space-Time: The Biggest Problem in Physics
What is the deepest level of reality? In this Quanta explainer, Vijay Balasubramanian, a physicist at the University of Pennsylvania, takes us on a journey through space-time to investigate what it’s made of, why it’s failing us, and where physics can go next.
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Jessica Whited on Limb Regeneration and the Axolotl Genome
Jessica Whited is a biologist who studies limb regeneration at Harvard Medical School and Brigham and Women’s Hospital. Here, she explains how genomic information for the salamander called an axolotl will help us understand the potential for regrowing limbs in humans and other animals.
Carina Curto on How Physicists Can Think About Neuroscience
Carina Curto, a mathematician at Pennsylvania State University, explains how her background in theoretical physics helps her tackle daunting problems in theoretical neuroscience.
Lisa Manning on the Dynamics of Glasses and Embryos
Lisa Manning, a physicist at Syracuse University, describes how the physics of glassy materials helps to explain how some organs assume their correct shape during embryonic development.
Michela Massimi: Defending the Philosophy of Science
Michela Massimi argues that the philosophy of science doesn’t have to be useful to scientists for it to be useful to humanity.
Donald Richards: A Revealer of Secrets in the Data of Life and the Universe
Donald Richards discusses the statistical rule-of-thumb he wishes everyone knew.
Günter Ziegler Seeks God’s Perfect Math Proofs
Günter Ziegler describes one of the most famous and beautiful proofs in Proofs From THE BOOK, a book he co-authored with Martin Aigner.
Barbara Engelhardt on How to Improve Statistical Analyses of Genomes
Barbara Engelhardt, a computer scientist at Princeton University, explains why traditional machine-learning techniques have often fallen short for genomic analysis, and how researchers are overcoming that challenge.
Daniel Goldman and His Smart Robots
Goldman explains how “smarticles” work together to demonstrate collective behavior.
Gil Kalai: Why Quantum Computers Won’t Work
Kalai argues that limiting the noise in a quantum computer will also limit the computational power of the system.