We develop algorithms to empower our software development process through machine learning techniques.
Reinforcement learning can learn superior strategies through interaction with the environment, does not require a priori knowledge, and is capable of autonomous learning and progressive optimization in complex environments to solve more complex and realistic problems.
We train machines to rely on cameras, data, and algorithms to get the job done in less time. Systems trained to inspect products or monitor production assets are able to analyze thousands of products or processes per minute and will find the slightest defect or problem.
We also facilitate and simplify human-machine interaction with speech recognition technology.
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