[ML Deployment Strategies Track]: Deploying AI in Extreme Environments: Lessons from Deploying in Oceans and Space | Kisaco Research

AI is revolutionizing the way we interact with our environment, even in the most extreme settings. 
In this talk, we will explore two real-world case studies of how AI is being deployed to push the boundaries of what is possible. The first case study comes from satellites in orbit, leveraging deep learning to improve sensor readings and Federated Learning to share knowledge in a satellite constellation; the second example, we explore autonomous drones that sail the ocean to open new possibilities for scientific research and commercial uses.
Together, we would use these two examples show how do design and deploy AI applications for unlocking the potential of extreme environments. 

Speaker(s): 

Author:

Uri Rosenberg

Specialist Technical Manager, AI/ML
Amazon Web Services

Uri Rosenberg is the Specialist Technical Manager of AI & ML services within enterprise support at Amazon Web Services (AWS) EMEA. Uri works to empower enterprise customers on all things ML: from underwater computer vision models that monitor fish to training models on satellite images in space; from optimizing costs to strategic discussions on deep learning and ethics. Uri brings his extensive experience to drive success of customers at all stages of ML adoption.

Before AWS, Uri led the ML projects at AT&T innovation center in Israel, working on deep learning models with extreme security and privacy constraints.

Uri is also an AWS certified Lead Machine learning subject matter expert and holds an MsC in Computer Science from Tel-Aviv Academic College, where his research focused on large scale deep learning models.

Uri Rosenberg

Specialist Technical Manager, AI/ML
Amazon Web Services

Uri Rosenberg is the Specialist Technical Manager of AI & ML services within enterprise support at Amazon Web Services (AWS) EMEA. Uri works to empower enterprise customers on all things ML: from underwater computer vision models that monitor fish to training models on satellite images in space; from optimizing costs to strategic discussions on deep learning and ethics. Uri brings his extensive experience to drive success of customers at all stages of ML adoption.

Before AWS, Uri led the ML projects at AT&T innovation center in Israel, working on deep learning models with extreme security and privacy constraints.

Uri is also an AWS certified Lead Machine learning subject matter expert and holds an MsC in Computer Science from Tel-Aviv Academic College, where his research focused on large scale deep learning models.