The Stanford AI Lab Blog
AI and the Future of Work
Is China winning the global AI race? How will developments in AI impact the job market, wealth inequality and the global economy? Dr. Kai-Fu Lee and Professors Susan Athey and Erik Brynjolfsson discuss this and more.
Batch-Active Preference-Based Learning of Reward Functions
Efficient reward learning is hard. With a focus on preference-based learning methods, we show how sample-efficiency can be achieved along with computational efficiency by using batch-active methods.
Deep Learning, Structure and Innate Priors
A Discussion between Yann LeCun and Christopher Manning about the future of Deep Learning and NLP
Altruistic Autonomy: Beating Congestion on Shared Roads
Have you ever felt you are losing too much time in traffic? Have you ever asked why all the cars on the roads can’t just all go with some constant ...
Towards Vision-Based Smart Hospitals
Every year, more people die from hospital-acquired infections than from car accidents. This means when you are admitted to a hospital, there is...