Artificial Intelligence Technology and Robotic Process Automation
Marlboro, NJ
Founded in 2002, through its experiences, AMI has become an expert authority on medical documentation. AMI’s business is in its Artificial Intelligence (AI) healthcare-centric software, customizations and wrap around consulting services that work at streamlining the production and use of medical documentation in all its forms. Headquartered in New Jersey, the Company's solutions are targeted toward companies that touch the healthcare space. AMI focuses its solutions on the entire medical corpus with a physician-centered approach to product design and testing, and proprietary artificial intelligence technologies since its inception. AMI creates powerful tools and solutions that continue to change the healthcare industry dynamic. As an example, in 2004, AMI commercialized the first hospital based Computer Assisted Coding Solution for all encounters transforming medical coding and clinical data input into useful productive output for Health Information Management, Clinicians, Administration and Finance. Through the years and now, we continue to provide bleeding edge technology solutions that are truly transformative. We hope you enjoy our uniquely informative objective videos backed by years of subject matter experience.
On-site · Montréal
You will conduct research on world models with a focus on 3D geometry, including self-supervised learning and dynamic prediction. You will also develop evaluation frameworks and scalable algorithms for processing high-dimensional sensor data.
On-site · Montréal
Team members will be responsible for implementing and optimizing robust, scalable self-supervised learning methods to efficiently learn from video and other high-dimensional signals. This includes developing and scaling new architectures focused on predicting world dynamics and creating efficient algorithms for model-based planning and reasoning.
On-site · Montréal
Team members will advance the state-of-the-art in world modeling, focusing on research efforts involving self-supervised learning from high-dimensional signals like video. This includes developing new architectures for predicting world dynamics and creating scalable algorithms for data processing and model-based planning.
