Anchoring in the African AI ecosystem Crucial to the WAXAL project was our commitment to working with, and contributing directly to, the African AI ecosystem. The data collection effort was…
There is an abundant amount of unstructured data about historical events — news articles, government reports, and local bulletins — but extracting this information manually at scale is impossible. Our…
The scaling challenge: Local precision vs. global reach Specialized, hyper-local early warning systems have been engineered to address flash floods from rainfall in specific urban settings, with examples in Florida…
Study 1: Standalone performance and integration feasibility The first study was split into two phases. In the first phase, we conducted a large-scale multi-center retrospective evaluation of the standalone performance…
When we think about artificial intelligence and geography, we often focus on navigation, or getting from point A to point B. However, the built environment — the complex web of…
Vectors are the fundamental way AI models understand and process information. Small vectors describe simple attributes, such as a point in a graph, while “high-dimensional” vectors capture complex information such…
Acknowledgements This work is a collaboration across multiple teams at Google. Key contributors to this project include Ruofei Du, Benjamin Hersh, David Li, Xun Qian, Nels Numan, Zhongyi Zhou, Yanhe…
Our approach to vulnerability disclosure Disclosure of security vulnerabilities is a controversial subject. On one hand, the “No Disclosure” position holds that publicizing vulnerabilities provides bad actors with instruction manuals…
As LLMs integrate into our daily lives, understanding their behavior becomes essential. In our ongoing efforts to study model behavior and alignment, we present this work as an early step…
Score smoothing facilitates manifold recovery In the real world, complex data like high-resolution images live in high-dimensional pixel spaces rather than a simple 1-D world. The vast majority of that…
