Using algorithms built on machine learning methods such as neural network models, the Stanford Artificial Intelligence Lab led by Fei-Fei Li has created software capable of recognizing scenes in still photographs -- and accurately describe them using natural language.
Li’s work with neural networks and computer vision (with Stanford’s Vision Lab) marks a significant step forward for AI research, and could lead to applications ranging from more intuitive image searches to robots able to make autonomous decisions in unfamiliar situations.
Fei-Fei was honored as one of Foreign Policy's 2015 Global Thinkers.
“Computer software only recently became smart enough to recognize objects in photographs. Now, Stanford researchers using machine learning have created a system that takes the next step, writing a simple story of what's happening in any digital image.” — Stanford News, November 18, 2014
Chris Anderson introduces Session 3 with a compelling idea: “Most of the new things happening right now that feel like magic — whether it’s self-driving cars or online translations suddenly getting much better — there’s machine learning behind it.” In this session we look at the issues around machines that learn. The challenge of teaching […]
Continue readingA cat. A house. A plane. Most 3-year-old children can point at these and identify them by sight. Fei-Fei Li, the director of Stanford’s Artificial Intelligence Lab and Vision Lab, has spent the past 15 years teaching machines how to see. Our most advanced machines are like toddlers when it comes to sight, Li says; […]
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