All Posts - Page 16

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.

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.

A Discussion between Yann LeCun and Christopher Manning about the future of Deep Learning and NLP

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 ...

Every year, ​more people​ die from hospital-acquired infections than from ​car accidents​. This means when you are admitted to a hospital, there is...

We are excited to launch the Stanford AI Lab (SAIL) Blog, where we hope to share our research, high-level discussions on AI and machine learning, a...