Group items tagged

"Patients can tell Alexa to ask for specific help, such as pain medication or assistance using the bathroom. The skill will then send their request to their nurse via a mobile device and a tablet at the nurse's station. For patients unable to find or reach the standard call button, a voice-activated system can be a real boon. And, because the specifics of the request are shared, the skill is more efficient than a call button. Nurses will know what the patient needs before they arrive and its severity - if it's an emergency or a less life-threatening need. "

"[...] fears of a dystopian AI future are also swirling around Amazon's facial recognition software system Rekognition, which the company reportedly attempted to sell to U.S Immigration and Customs Enforcement (ICE) and which has been tested by law enforcement in Washington and Oregon. While the public is currently focused on the use of Rekognition by law enforcement and government agencies, there is another issue to consider. If the technology becomes a standard part of the smart display experience, people may balk at the idea of installing Amazon's technology in their homes."

"Emotion-classifying AI isn't anything new, but traditional approaches are supervised, meaning that they ingest training data labeled according to speakers' emotional states. Scientists at Amazon took a different approach recently, which they describe in a paper scheduled to be presented at the International Conference on Acoustics, Speech, and Signal Processing. Rather than sourcing an exhaustively annotated "emotion" corpus to teach a system, they fed an adversarial autoencoder a publicly available data set containing 10,000 utterances from 10 different speakers. The result? The neural network was up to 4% more accurate at judging valence, or emotional value, in peoples' voices." https://developer.amazon.com/fr/blogs/alexa/post/2d8c2128-eec9-44cc-9274-444940eb0a4d/using-adversarial-training-to-recognize-speakers-emotions