Meta's AI & Compute Foundation team, led by Chunqiang Tang (a.k.a. CQ Tang), comprises world-class research scientists and engineers developing foundational AI and compute technologies. Our focus areas include:
Our primary measure of success is delivering AI and compute systems into production to serve billions of users. This requires continuous innovation, and our philosophy is research in production: first delivering production systems with broad impact, then summarizing our innovations and experiences as research papers at top conferences. We have won Best Paper Awards at prestigious conferences such as ISCA, ASPLOS, SOSP, and OSDI, with multiple papers selected for IEEE Micro Top Picks. We also publish in broader venues such as ICML, NeurIPS, SC, HPCA, NSDI, VLDB, and MLSys. While we value our strong publication record, we take even greater pride in the global impact of the production systems we build for billions of people.
The broad scope of our work---spanning hardware, software, and AI models---makes a complete overview challenging. A quick way to glimpse our work is by reading the abstracts of the few papers highlighted below. For broader topics, please refer to our publications.