Towards On-Device AI request for proposals

Facebook is soliciting proposals on a wide range of topics related to efficient on-device AI systems, including, but not limited to the following:

• Extending on-device capabilities for vision, audio, speech, and natural language processing
• Distributing AI capabilities across the whole system stack from data capture at the edge to the cloud instead of performing all the compute in the cloud
• Machine learning techniques to optimize system tasks such as compression, scheduling, and caching
• On-device privacy-preserving learning
• Efficient machine learning models for edge devices
• Dynamic neural networks, such as mixture-of-expert networks
• Platform-aware model optimization
• Efficient hardware accelerator design
• Tools for architecture modeling, design space exploration, and algorithm mapping
• Efficient model execution on edge devices such as scheduling and tiling
• Emerging technologies such as near-sensor, near-memory, and near-storage computing

Funding: $75,000 

Duration: no fixed limit 

Research Authority due date: 27.1.20