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Episode 62: The Model (& Simulation) Researcher

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Manage episode 347301647 series 1314130
Indhold leveret af DARPA. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af DARPA eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

For this episode of the Voices from DARPA podcast, we talk with new DARPA program manager, Dr. Alvaro Velasquez, a self-described “researcher at heart.” His current research interests are at the intersection of formal language theory and machine learning for sequential decision-making.

Velasquez discusses his path to DARPA and how it serendipitously led him to inheriting management of a new AI program called Assured Neuro Symbolic Learning and Reasoning (ANSR). He also describes his idea for his next project, which will look at neuro symbolic knowledge transfer to accelerate the adoption of machine learning outcomes within modeling and simulation for military systems.

  continue reading

118 episoder

Artwork
iconDel
 
Manage episode 347301647 series 1314130
Indhold leveret af DARPA. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af DARPA eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

For this episode of the Voices from DARPA podcast, we talk with new DARPA program manager, Dr. Alvaro Velasquez, a self-described “researcher at heart.” His current research interests are at the intersection of formal language theory and machine learning for sequential decision-making.

Velasquez discusses his path to DARPA and how it serendipitously led him to inheriting management of a new AI program called Assured Neuro Symbolic Learning and Reasoning (ANSR). He also describes his idea for his next project, which will look at neuro symbolic knowledge transfer to accelerate the adoption of machine learning outcomes within modeling and simulation for military systems.

  continue reading

118 episoder

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