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Steve Blank delivers a lecture on strategies for startups selling to the Department of Defense (DoD), emphasizing the unique challenges compared to commercial sales. He highlights the importance of understanding the DoD's specific problems and requirements, rather than focusing solely on technology. Blank points out th...
The podcast explores how the Army Applications Lab (AAL) is working to bridge the gap between the U.S. Army and the commercial technology sector. Casey Perley, Director of the Army Applications Lab, shares her journey from microbiology to her current role, highlighting the AAL's mission to integrate cutting-edge techno...
Brandon Tseng, co-founder, president, and chief growth officer of Shield AI, discusses the inspiration and pivotal moments behind starting his company, which aims to protect service members and civilians with intelligent systems. Tseng shares how his upbringing, influenced by his father's entrepreneurial spirit and his...
In-Q-Tel's role as the venture capital arm of the U.S. intelligence community is examined, focusing on its mission to source innovation from startups and adapt technologies for national intelligence purposes. George Hoyem, Vice President of Investments at In-Q-Tel, describes their dual investment approach: equity inves...
The conversation centers on the intersection of software, vehicle technology, and defense, featuring Qasar Younis, CEO and co-founder of Applied Intuition. Younis shares his journey from growing up in Detroit's auto industry to leading a company transforming both automotive and defense sectors with software solutions. ...
The podcast explores the speaker's PhD work on evaluating and designing computing systems for the future of work, questioning whether current technologies have created an ideal workplace. It highlights three projects influenced by Simon's vision of studying computing technologies as a science of the artificial. The fir...
Hyung Won Chung, a research scientist from OpenAI, delivers a lecture on Transformers, focusing on the dominant driving forces behind AI research and how understanding these forces can help predict future trajectories in the field. He argues that exponentially cheaper compute and associated scaling are the primary driv...
This episode explores the landscape of large language models (LLMs) and multimodal pre-training, focusing on key moments in their development, practical training techniques, and potential research directions. The discussion begins by highlighting three pivotal moments: the emergence of BERT, the realization of scaling ...
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