Apr
20
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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.
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Apr
6
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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.
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Feb
14
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This episode is a conversation with UT Austin’s Hans Hofmann about a number of related topics in biology. We start with computational biology and bioinformatics (the original topic of the episode). From there we moved into genetics and DNA sequencing as an example for where comptutational biology is used. Finally, we talked about Hans’ own research on biological foundations of social behavior.
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Jun
3
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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.
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Nov
23
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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.
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