Today, it’s the golden era of data—for the best-trained, best-funded engineering and AI teams. For everybody else? Not so much.
In the Stanford DAWN project, we’re democratizing AI and machine learning. Over the next five years, we’ll build out the toolbox that we believe will empower the remaining 99.9% to build and deploy their own world-class data products, quickly and cheaply.
Our research–from Spark to Mesos, DeepDive, and HogWild!–already powers major functionality all over Silicon Valley–and the world. Between fighting against human trafficking, assisting in cancer diagnosis and performing high-throughput genome sequencing, we’ve invested heavily in tools for AI and data product development.
The next step is to make these tools more efficient and more accessible at each stage of the data product lifecycle, from training set creation and model design to high-volume monitoring, optimized execution, and hardware-efficient implementation.
This technology holds the power to change science and society—and we’re creating this change with partners throughout campus and beyond. We are currently assembling our initial team of partners and are actively recruiting graduate students to join our growing team.
For an introduction to DAWN, see these slides.
Who is DAWN?
DAWN is an ambitious team of Stanford graduate students, postdocs, and faculty, spanning algorithms to architecture, including: