How Machine Learning Will Revolutionize Hearing Aids
Aside from that inconsistency, Google did a pretty good job of identifying the patterns in the image. To accomplish this feat, Google's pattern recognition engine has been trained on millions of images of cats, mammals, whiskers, fur, etc. Note: We always thought Niko was a Tabby, but after looking at some pictures of "Dragon Li" breed cats, we're reconsidering. Aside from recognizing your cat photos, what are other real-world applications of machine learning that might impact your life? How does the science of machine learning offer to improve hearing aids? As any experienced hearing aid user knows, hearing in background noise is extremely difficult.
Jun-19-2018, 00:17:27 GMT
- Country:
- North America > United States > Ohio (0.05)
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- Research Report > Experimental Study (0.32)
- Industry:
- Health & Medicine > Therapeutic Area
- Immunology (0.64)
- Infections and Infectious Diseases (0.64)
- Otolaryngology (0.50)
- Health & Medicine > Therapeutic Area
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