Super Data Science: ML & AI Podcast with Jon Krohn cover image

701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa)

Super Data Science: ML & AI Podcast with Jon Krohn

CHAPTER

Navigating Differences Between Academia and Industry in Robotics and Technology Development

The chapter explores the contrasting priorities of academia and industry in showcasing capabilities in robotics and technology development, emphasizing the importance of low error rates and robust product development in industry settings. It delves into challenges in tech transfer, promoting diversity in technology, and empowering underrepresented groups through unique programs like DARE. The conversation stresses the value of entrepreneurship outside academia, discusses the expansion of computer science and engineering into other disciplines, and recommends reputable conference proceedings as essential resources for staying current in the field.

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