Amazon's first in-house TVs may be showcases for Alexa, but that isn't precluding the company from supporting someone else's ecosystem. According to The Verge, Amazon has unveiled plans to add support for Apple's AirPlay 2 and HomeKit to both higher-end Omni and budget 4-series Fire TV sets now that they're available. You can use AirPlay 2 to cast content from your iPhone, iPad or Mac, but the HomeKit integration may be the most notable -- yes, you can use Siri to control an Amazon TV as part of your wider smart home network. Amazon would only say the support was coming "soon." The TVs themselves start at $370 for the 4-series, which provide the usual Fire TV integrations along with 4K and HDR support in sizes ranging from 43 inches to 55 inches.
When Amazon's Echo Frames smart glasses first became widely available, we found they were capable if somewhat boring. There simply weren't many styles, colors and sizes to choose from at launch. Thankfully, Amazon is working to address that issue. The company is introducing two new colors called "Quartz Grey" and "Pacific Blue." Amazon will offer both with a variety of lens options, including ones that filter out blue light.
Before diving into the ML behind customer-facing chatbots, I'll first give a quick overview of the system (tl;dr). I will also speak from my experience with Dialogflow, and make the assumption that the approach is similar across other ML-based chatbots. Basically, everything is built around "Intents" and "Entities". Intents: "When an end-user writes or says something, referred to as an end-user expression, Dialogflow matches the end-user expression to the best intent in your agent. Matching an intent is also known as intent classification."
Our smart devices are listening. Whether it's personally identifiable information, location data, voice recordings, or shopping habits, our smart assistants know far more than we realize. A survey on smart assistant usage conducted by Reviews.org After analyzing the terms and conditions of Alexa, Google Assistant, Siri, Bixby, and Cortana, though, it was clear that some degree of data collection is ultimately inescapable. All five services collect your name, phone number, device location, and IP address; the names and numbers of your contacts; your interaction history; and the apps you use.
Amazon has two new programs that integrate Alexa into hospitals and senior living communities, the company announced today. They're run through Alexa Smart Properties, which allows organizations to control a centralized Alexa system. "Early on in the pandemic, hospitals and senior living communities reached out to us and asked us to help them set up Alexa and voice in their communities," Liron Torres, global leader for Alexa Smart Properties, said in an interview with The Verge. Hospitals wanted ways to interact with patients without using protective equipment, and senior living communities wanted to connect residents with family members and staff, she says. The program lets senior living facilities use Amazon Echo devices to send announcements or other messages to residents' rooms.
What was the motivation for adding voice and image recognition to the iPhone's SoC? If you've ever used Siri, Apple's voice assistant, you may have run into occasional problems where, instead of responding to your command, she says something along the lines of "Please wait a moment..." This is because at present, Siri uses cloud processing of voice data, and if she is unable to connect to Apple's servers through the internet, that's where the party ends. This is due to change very soon however, as this fall's release of iOS 15 will switch Siri to process your voice commands completely on the device itself. Voice assistants such as Siri, Amazon's Alexa, Google Assistant, or Microsoft's Cortana, on-device processing brings a host of benefits: Reduced latency since the data doesn't have to travel over the internet to be processed with wearable technologies Less use of bandwidth which can translate to cheaper internet bills Better privacy as the processing is all done locally and not on someone else's computer The Natural Language Processing (NLP) functionality on these smart assistants are sometimes designed as a hybrid edge and cloud solution known as "fog computing" because it's at the "edge of the cloud". In these systems, they process some data locally and more complex data in the cloud.
Amazon has announced two new programs for Alexa centered around healthcare and retirement homes. Through Alexa Smart Properties, hospitals and senior living communities can run their own custom version of the voice assistant. Retirement homes might tap into Alexa to help residents keep in contact with family and friends, stay in touch with staff, take part in activities and remain engaged with other members of the community. Staff members can use Alexa to broadcast announcements and, of course, the voice assistant can still be used for things like controlling connected devices and smart TVs. Amazon's aim with the healthcare program is to, among other things, let staff members check in with patients without having to enter their rooms. In turn, patients can ask nurses questions, and they'll be able to respond to brief queries without having to leave their station.
It may seem like something out of a sci-fi novel, bots playing a role in helping you. But, is that truly the case? Its actually become a growing reality with various industries utilizing these artificial intelligence-powered chatbots to automate tedious processes and seamlessly provide consumers with round-the-clock attention. Chatbots were limited to marketing, banking, and customer service earlier, but they established themselves in healthcare during the pandemic. The genuine interest in adopting chatbots in the healthcare sector is clear since more than $800 million has been spent by startups on developing healthcare chatbots.
Artificial intelligence is a branch of computer science that deals with making intelligent machines and computer programs. It is a broad branch that includes machine learning and deep learning. John McCarthy, a professor emeritus at Stanford University, coined the term artificial intelligence in 1956. The applications of artificial intelligence include voice assistants like Alexa, Siri, and Google Assistant. It is also applied to deep learning models like Luther AI.