If artificial intelligence (AI) is the future, the future is now, and it's all around us. Despite what science fiction and futuristic fantasy may have you believe, AI isn't all about recreating human consciousness. Rather, it's a practical, efficient way to help business technology get smarter as a product gains traction. AI allows companies to use insights from a large community of users to continually improve upon their products.
Ever since neural networks began their renewed renaissance in 2012, computer vision has been a ripe field of study and innovation for AI researchers and a fruitful area of applied AI for enterprises. Deep learning enables incredible feats of machine vision, such as classifying image subjects at human parity and dynamically generating completely new imagery.
FILE In this Monday Dec. 21, 2009 file photo, Sudan, a northern white rhino, arrives at the Ol Pejeta Conservancy in Kenya. There's just one male northern white rhino left in the world, and he's getting some help from the Tinder dating app. A Kenyan wildlife conservancy is teaming up with Tinder for a campaign called "The Most Eligible Bachelor in the World," focusing on the rhino named Sudan. They are raising money for research to save the species from extinction.
Mike Abbott, Partner of Kleiner Perkins Caufield & Byers, sits with Dr. Fei Fei Li, Associate Professor in the Computer Science Department at Stanford, and the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. Dr Li's main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She has published more than 150 scientific articles in top-tier journals and conferences and invented ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI.