Leslie Lamport talks about the importance of programming instead of coding, how he developed distributed systems and his favorite algorithm.
James P. Allison of the University of Texas MD Anderson Cancer Center discusses what initially drew him to immunology as a field and why many scientists used to be skeptical that an immunological strategy for killing cancers would work.
Scarlett Howard describes how and why she taught honeybees math.
Barbara Liskov addresses the challenges that confront computer science.
Virginia Trimble discusses how astronomy has changed over the course of her half-century career.
Wehner discusses the advantages of transmitting qubits rather than bits across a long-distance communication network.
Craig Callender explains why the connection between black holes and thermodynamics is little more than an analogy.
The behavior of algorithms is so complex and surprising that we need to study them as though they were animals in the wild.
Carlo Rubbia explains why he thinks particle physicists should take the next step by building a “Higgs factory.”
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.