SurgicalAI is sponsoring TensorLayer by prodviding Free GPU and Cloud Storage Resources for the TensorLayer Community. SurgicalAI provides unlimited S3 data storage resources with unlimited space and bandwidth, which can be used for storing training data, pretrained model. SurgicalAI is also providing TensorLayer community with free GPU for training AI models, but the capacity is very limited.
To use the free cloud computing resource, a project must
- The code must be based on tensorlayer and open sourced
- The training data and pre-trained model must be public accessible
- Academic research projects can delay publishing the code and data within 6 month after the research paper is accepted. The paper must acknowlege surgicalai for contributing the computing resources
For the S3 data storage resource, please contact Fangde Liu. To access the free GPUs, please contact tensorlayer author Hao Dong.
SurgicalAI only support TensorLayer finanically, and will not involve in the project management.
SurigcalAI is an startup founded by the data science and surgical robot experts from Imperial College London. SurgicalAI are working on robotic and remote Surgery platforms and pharmacovigilance analysis platform based Real World Evidence (RWE). Our System are mainly used for Structural Heart Disease Intervention (such as TAVI), Joint Replacment Orthopaedics Surgery, Neural Surgery and Neurology.
Our Clients includes many giants in pharm and medical implants giants such as Biogen and Johnson&Johnson. We are sponsored by Nvidia and AWS, and are recognized as on the most impactful healthcare startup on this planent. We are currently based in Hanzhou, China and are expanding globally. We are looking for robotic engineering and data scientists to join us. For interests in SurgicalAI, please email liufangde@surgicalai.cn