CamSys.ai is formed in Cambridge.
Efficient training & inference algorithms, Reinforcement Learning for Neural Architecture Search, generative models, Super-Resolution, progressive inference models and more ...
Deployment of ML models on smartphones, embedded and compute/memory constrained devices, AGXs, microcontrollers and more ...
ML workload offloading to cloud/edge, federated learning, IoT distributed computing, distributed learning and more ...
5G, channel encoding/decoding with ML, efficient data packing, compression and more ...
We are all researchers in the field of Embedded-AI and we are excited to hear from you. Please get in touch personally or via our group e-mail.
Whether you want to join or just reach out to learn about our research,
contact us in one of the following ways: