Across
- 3. As new data is introduced, cognitive systems must be able to "make changes" on the fly, making real-time adjustments as needed.
- 5. Cognitive systems must be able to achieve human-computer interaction (HCI). This means they are able to offer and receive information from humans and other areas of technology, such as the cloud or hardware devices.
- 7. Cognitive systems must be able to recognize when a problem is unsolvable and seek the answers necessary to solve it.
- 8. (10,6,8) ANN - is a framework modeled after the human brain. This framework consists of inputs, outputs, and hidden layers
- 9. (4,8) DL - is an approach to machine learning that falls under artificial intelligence (AI), which is most commonly used to label vast and complex data through ANN.
Down
- 1. (7,8,10) NLP - As its goal is to work side by side with and learn from human intelligence, cognitive systems must be able to understand human speech and written text.
- 2. (7,8) ML - uses neural networks, a computer system modeled after how the human brain processes information. It is an algorithm designed to recognize patterns, calculate the probability of a certain outcome occurring, and “learn” through error and successes using a feedback loop.
- 4. (9,9) is a branch of artificial intelligence developed to think like and work alongside humans.
- 6. Since cognitive computing is mimicking human behavior, it must also be able to understand context. It can use sensor data, unstructured, and structured data to achieve this.