This episode is a conversation with Iain Bethune from the Edinburgh Parallel Computing Center about high-performance computing: the topic has played an implicit role in many previous omega tau episodes, and this episode treats it explicitly. We discuss different architectures (supercomputers, commodity clusters, grid computing), programming languages and software design as well as application areas.
This episode is about autonomous vehicles (aka self-driving cars). Our guest is Jonathan Sprinkle, assistant professor at the department of Electrical and Computer Engineering at the University of Arizona. We talk about the topic mainly from the perspective of (software and systems) engineering, but also address legal and societal questions.
Diese Episode betrachtet das Fly-by-Wire System des A320 im Detail; in gewisser Weise ist diese Episode eine Fortsetzung der letzten Episode aus anderer Perspektive. Ich unterhalte mich dazu mit Reinhard Reichel vom Institut für Luftfahrtsysteme der Universität Stuttgart. Es geht um die Grundlagen von Fly-by-wire, die Funktionalitäten die es typischerweise zur Verfügung stellt, sowie die Architektur des Systems im A320. Dabei gehen wir auch auf einige Grundlagen von robusten, redundanten Systemen ein.
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.
In this episode we talk to UT Austin’s Ray Mooney about artificial intelligence. We start out by providing an overview over the field in general. We discuss some historical aspects as well as some of its subfields. We then spend some time looking at Ray Mooney’s own specialties: machine learning and natural language processing. We conclude the episode with a brief conversation about IBM’s Watson, the computer than won the jeopardy game.
In this fourth (and for the time being, last) episode in the series on physics at CERN we look at the LHC from the perspective of the beam producers, and more specifically, from the perspective of the control system for the LHC. To this end, we first talk to Vito Baggiolini, a software engineer in the controls group, and then we talk to Felix Ehm, a technical engineer for the beam control system. In the episode we recap what the LHC does and how it does it (you may want to re-listen to Episode 30 on the LHC), discuss the hardware elements used for beam control, some of the safety and security systems, as well as about the software aspects of the system.
This episode is a conversation with Michael Commer of the Berkeley Lab about geophyiscal modeling in oil exploration. We start with a brief discussion about how oil gets created and in which geological formations it can be found. We then proceed to talk about various means of finding oil using various means and techniques. The majority of the episode’s conversation revolves around how numerical mathematics can help interpret, refine and work with exploration results.