with Fei-Fei Li, Frank Chen, and Sonal Chokshi
artificial intelligence automation & robotics coding literacy education machine & deep learning announcements autonomous cars computer vision in-residence
Who has the advantage in artificial intelligence â€” big companies, startups, or academia? Perhaps all three, especially as they work together when it comes to fields like this. One thing is clear though: A.I. and deep learning is where itâ€™s at. And thatâ€™s why this yearâ€™s newly anointed Andreessen Horowitz Distinguished Visiting Professor of Computer Science is Fei-Fei Li [who publishes under Li Fei-Fei], associate professor at Stanford University. Bridging entrepreneurs across academia and industry, we began the a16z Professor-in-Residence program just a couple years ago (most recently with Dan Boneh and beginning with Vijay Pande).
Li is the Director of the Stanford Vision Lab, which focuses on connecting computer vision and human vision; is the Director of the Stanford Artificial Intelligence Lab (SAIL), which was founded in the early 1960s; and directs the new SAIL-Toyota Center for AI Research, which brings together researchers in visual computing, machine learning, robotics, human-computer interactions, intelligent systems, decision making, natural language processing, dynamic modeling, and design to develop â€œhuman-centered artificial intelligenceâ€ for intelligent vehicles. Li also co-created ImageNet, which forms the basis of the Large Scale Visual Recognition Challenge (ILSVRC) that continually demonstrates drastic advances in machine vision accuracy.
So why now for A.I.? Is deep learning â€œitâ€â€¦ or what comes next? And what happens as A.I. moves from what Li calls its â€œin vitro phaseâ€ to its â€œin vivo phaseâ€? Beyond ethical considerations â€” or celebrating only â€œgeekinessâ€ and â€œnerdinessâ€ â€” Li argues we need to inject a stronger humanistic thinking element to design and develop algorithms and A.I. that can co-habitate with people and in social (including crowded) spaces. All this and more on this episode of the a16z Podcast.
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