Exam Preview for 36762: Exploring Patient Benefits with Oticon More

Exploring Patient Benefits with Oticon More™

Please note: exam questions are subject to change.

1. Are Deep Neural Networks and Artificial Intelligence the same thing? Yes, they can be used interchangeably. No they are not the same. Deep neural networks are systems that implement concepts of deep learning. Artificial intelligence refers to the larger concept of intelligence demonstrated by machines, rather than humans and animals. No they are not the same, deep neural networks refers to the grey matter or the nervous system in human brains while artificial intelligence refers to the brain inside all computers. Yes, they are similar concepts because they both referring to algorithms hardwired into all types of machines.
2. Deep Neural Networks (theoretically and/or technically) are used in Self-driving cars, Amazon Prime movie suggestions, facial recognition systems Vegan cooking recipes Academic textbooks to ensure students remember stories Teaching teenagers how to drive cars
3. With Deep Neural Networks, is the ability to train the hearing aid to a particular voice (or voices) a realistic future-based goal? Yes. Due to their ability to analyze and learn from vast amounts of data, this is a realistic future goal for deep neural networks. No. The networks are as developed as they will ever be. Yes. These voice tracking systems are already commercially available in all hearing aids. The objective of the deep neural networks in the hearing aids is solely to reduce size of instruments, not signal processing.
4. Examples of learning behaviors exhibited by Deep Neural Networks as seen in nature include Groups of birds flying together during migration Fish being able to survive for 10 minutes out of water Human babies learning to talk Animals sensing humans are superior and not to be killed
5. In 2021, commercially available hearing aids were introduced that have been trained on 12 million sounds and are available with real-time “on-the-chip” processing? This is a future-focused aspiration of the hearing aid industry Deep neural networks are too big to fit on tiny hearing aid chips Deep neural networks only exist as cloud based options, not “on-the-chip” based Hearing instruments with such sophistication in technology are available as of 2021