INFORMAZIONI SU QUESTO EPISODIO
In this episode of Disbelief to Doubt we turn back the clock to 2018 and sit down with former IARPA Director Dr. Jason Matheny who served as IARPA director from 2015 through 2018. In part one of this two-part interview we discuss a wide range of topics, including Jason's early career in science, how being a "force multiplier" drew him to IARPA, lessons learned from IARPA's first 10 years of tackling "IARPA hard" problems, the role of the U.S. as a leader in artificial intelligence (AI) research and development and much more.
Inglese
Stati Uniti
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CERCA TRA GLI EPISODI PASSATI
Cerca gli episodi passati di IARPA: Disbelief to Doubt.
ALTRI EPISODI IN QUESTO PODCAST
Enjoy this sneak peak of IARPA: Disbelief to Doubt Episode 4! In this upcoming episode of Disbelief to Doubt we speak with former Program Manager Michael DiRosa and explore how quantum computing differs from classical computing approaches, how this technology may eventually change the world, and h…
The demand to solve increasingly complex problems is accelerating beyond the capabilities of traditional computing approaches. Quantum computing promises to revolutionize a host of industries by enabling rapid solutions to complex problems that are currently intractable for more traditional – or cl…
IARPA invests in high-risk, high-payoff research with the goal of providing our nation with an overwhelming intelligence advantage. Developing scientific breakthroughs that challenge the state of the art requires IARPA Program Managers (PMs) to take ideas from a place of “disbelief to doubt” befo…
IARPA invests in high-risk, high-payoff research with the goal of providing our nation with an overwhelming intelligence advantage. Developing scientific breakthroughs that challenge the state of the art requires IARPA Program Managers (PMs) to take ideas from a place of “disbelief to doubt” befo…
The demand to solve increasingly complex problems is accelerating beyond the capabilities of traditional computing approaches. Quantum computing promises to revolutionize a host of industries by enabling rapid solutions to complex problems that are currently intractable for more traditional – or cl…
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