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How Does Graph Theory Shape Our World?
Maria Chudnovsky reflects on her journey in graph theory, her groundbreaking solution to the long-standing perfect graph problem, and the unexpected ways this abstract field intersects with everyday life.
Does Form Really Shape Function?
From brain folds to insect architecture, L. Mahadevan explains how complex biological forms and behaviors emerge through the interplay of physical forces, environment and embodiment.
Will We Ever Prove String Theory?
Promise and controversy continues to surround string theory as a potential unified theory of everything. In the latest episode of The Joy of Why, Cumrun Vafa discusses his progress in trying to find good, testable models hidden among the ‘swampland’ of impossible universes.
Singularities in Space-Time Prove Hard to Kill
Black hole and Big Bang singularities break our best theory of gravity. A trilogy of theorems hints that physicists must go to the ends of space and time to find a fix.
For Algorithms, a Little Memory Outweighs a Lot of Time
One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer science.
‘Turbocharged’ Mitochondria Power Birds’ Epic Migratory Journeys
Slight changes in the number, shape, efficiency and interconnectedness of organelles in the cells of flight muscles provide extra energy for birds’ continent-spanning feats.
New ‘Superdiffusion’ Proof Probes the Mysterious Math of Turbulence
Turbulence is a notoriously difficult phenomenon to study. Mathematicians are now starting to untangle it at its smallest scales.
How Did Geometry Create Modern Physics?
Geometry may have its origins thousands of years ago in ancient land surveying, but it has also had a surprising impact on modern physics. In the latest episode of The Joy of Why, Yang-Hui He explores geometry’s evolution and its future potential through AI.
Will AI Ever Understand Language Like Humans?
AI may sound like a human, but that doesn’t mean that AI learns like a human. In this episode, Ellie Pavlick explains why understanding how LLMs can process language could unlock deeper insights into both AI and the human mind.