Computer scientists

347 profiles

Computer scientists to follow

Interviews with computer scientists

Based on freshness and the participants' profile rank

The tradition of Epicenter x Vitalik Buterin continued this year as well at EthCC[8], where we got the chance of picking his brain about recent research, interests and Ethereum Foundation’s direction going forward. Join us for a fascinating discussion on biotech and how Vitalik’s Shiba ended up funding it, the utility

39 min
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Jim talks with Samo Burja about his report on the defense startup Anduril's plan to modernize the U.S. military. They discuss "live players vs. dead players," AI adoption & cognitive tools, Anduril's background & naming origin, military technology modernization, software-defined conflicts, autonomous & software-enabled

78 min
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01:18:01
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What"s at stake for humanity amid the arms race to AGI?  Dr. Ben Goertzel should know. He legit coined the term AGI. 🤖 The legendary AI leader is sounding the alarm: leaving Artificial General Intelligence in corporate or military hands could plunge humanity into chaos.  Ben joins Everyday AI to reveal the high-stakes

40 min
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Are the AI models you use today imposters? Please watch the intro video we did before this: https://www.youtube.com/watch?v=o1q6Hhz0MAg In this episode, hosts Dr. Tim Scarfe and Dr. Duggar are joined by AI researcher Prof. Kenneth Stanley and MIT PhD student Akash Kumar to discuss their fascinating paper, "Questioning

136 min
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Jim Rutt & J. Doyne Farmer 19 Jun 2025 • EN

EP 305 J. Doyne Farmer on Complexity Economics

Jim talks with J. Doyne Farmer about his book Making Sense of Chaos: A Better Economics for a Better World. They discuss deterministic chaos & strange attractors, how chaos makes time possible, bounded rationality, economic equilibrium & Nash equilibrium, traditional economics' failures, standard economic theory basics

82 min
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01:22:21
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Python is the dominant language for AI and data science applications, but it lacks the performance and low-level control needed to fully leverage GPU hardware. As a result, developers often rely on NVIDIA’s CUDA framework, which adds complexity and fragments the development stack. Mojo is a new programming language des

55 min
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55:56
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