This episode covers Wolfram|Alpha, Wolfram‘s computational knowledge engine and the backend of Siri. Our guest is Michael Trott, the chief scientist of Wolfram|Alpha. In the episode we discuss how Wolfram|Alpha works, including aspects of language processing, ontologies and semantics as well as presentation of results to the user.
In this episode we discuss Mathematica, Wolfram Research’s technical computing system. With our guest, kernel developer Daniel Lichtblau, we discuss Mathematica’s capabilities for symbolic, numeric and other forms of computation, and we can do and how it works internally.
In dieser Episode sprechen wir mit Prof. Dr. Hermann Matthies über seine Arbeit am Institut für wissenschaftliches Rechnen der TU Braunschweig. Dabei geht es um Differentialgleichungen, Diskretisierungs- und Näherungsverfahren, aber auch um rechnergestützte Lösungsverfahren, Anwendungsbeispiele und aktuelle Forschungsthemen.
This episode is about chaos, or more specifically non-linear dynamics and sensitive dependency on initial conditions. We talk to Harry Swinney and Michael Marder, both from UT Austin’s Center for Nonlinear Dynamics. We discuss the basics of chaos, the kinds of systems that exhibit chaotic behavior, fractals, the phase space and the strange attractor. We also discussed practical applications of chaos theory and Harry’s and Michael’s current work.
In this episode we talk to Ryan Murphy of ETH Zuerich about Game Theory. We introduce the topic in general, discuss a number of important games and also address their applicability for various other sciences, including biology, politics and economics.