Dynam.AI Launches Contextual Machine Learning Approach for Autonomous Services

By Cesareo Contreras | November 15, 2022


Dynam.AI today said its Context Augmented Machine Learning, or CAML, software capability is now available. CAML uses what the company called “scientific first principles” and the laws of physics, human behavior, and macroeconomic conditions for more accurate models and analytics. Dynam.AI has partnered with industrial drone provider American Robotics, which uses artificial intelligence and CAML to detect and identify potential oil and gas leaks.


“Traditional machine learning is only able to work with the data it’s given,” said Dimitry Fisher, chief scientific officer at Dynam.AI, in a statement. “But when your AI has access to scientific first principles, it can use the data it’s given much more efficiently and effectively. This translates into better results with available data, and results that cannot be obtained based on data alone, leading to better decision intelligence and better solution performance.”


San Diego-based Dynam.AI said its machine-learning capabilities can improve over time. The company claimed that its AI services can help manufacturers “optimize production processes, reduce downtime, automate diagnostics and repair to maximize efficiency, meet operational targets, and create new revenue streams and business models that allow them to stay competitive.”






Source: Robotics 24/7