Artificial intelligence and machine learning serve as the underlying basis for innovation in a variety of different technological areas. One of the difficulties of artificial intelligence and machine learning, however, is that these techniques may be difficult to detect in practice. Accordingly, we implement practices and procedures to understand not only the underlying operation of these techniques, but also how to detect this operation to protect our client’s intellectual property.
Examples of our experience in artificial intelligence and machine learning include the following:
- Deep learning and neural network design and implementation
- Generative adversarial networks
- Artificial assistant systems including chatbots
- Natural language processing
- Learned image recognition
- Semantic class recognition
- Selection, configuration, and distribution of digital marketing content