Over the past few years, Meta has worked with various university faculty members on topics related to AI System Hardware/Software Codesign. In the past few years, we have received up to 100 research proposal submissions each year, many of which provided promising research directions. We were honored to be able to support and award several of those proposals. These winners were invited to our annual AI Systems Faculty Summit at either the Meta Menlo Park headquarters or as a virtual event.
This year, Meta is pleased to invite university faculty to respond to this new call for research proposals on AI System Hardware/Software Codesign. Deep learning has been particularly amenable to simultaneous design and optimization of several aspects of the system, including hardware and software, to achieve a set target for a given system metric, such as throughput, latency, power, size, or their combination. Meta AI teams have been using codesign to develop high-performance AI solutions for both existing as well as future AI hardware, and we are currently looking to further explore codesign opportunities across a number of new dimensions.
To foster further innovation in this area, and to deepen our collaboration with academia, Meta is pleased to invite faculty to respond to this call for research proposals pertaining to the aforementioned topics. We anticipate being able to support several awards, each at $50,000. Payment will be made to the proposer's host university as an unrestricted gift.