Exam Preview for 32855: Artificial Intelligence and Machine Learnin

Artificial Intelligence and Machine Learning in Hearing Care

Please note: exam questions are subject to change.

1. The relationship between ML and AI can be described as: ML is a method used to achieve AI AI and ML operate separately in parallel fashion AI and ML operate separately in sequential fashion AI and ML are the same concepts
2. ML has what advantage over human learning? Learning quickly from experience Handling of great amounts of data at any given moment Drawing intuition from experience None of the above
3. AI applications can be categorized by The methods used The problem being solved The difficulty and complexity of the situation All of the above
4. SoundSense Learn uses ML by: Providing benefit in the moment via user interaction Classifying the acoustic scene Assessing the SNR Adjusting the directional pattern
5. SoundSense Learn is aimed at identifying and operating within an EVOKE users individualized: MCL range Front-to-back ratio Listening intention Inter-aural attenuation
6. SoundSense Learns A/B settings are presented to users in what fashion: Randomly using AI Ascending using ML Descending using AI Based on wearer input using ML
7. SoundSense Learn distills _____ iterations into 10-20 steps. 1500 2000 Over 2 million An infinite number
8. The second generation of SoundSense Learn includes: Progress bar to show the time duration of the process Convergence indicator to show how close the options are getting SNR settings for each option Wearer response time between trials
9. SoundSense Learn provides users with: Automated volume control changes The opportunity to address their listening preference in the moment A live record feature for subsequent analysis in the clinic Manual volume control changes
10. SoundSense Learn use requires what of the wearer? Extensive practice Sound categorization ability The Widex EVOKE app An understanding of AI and ML