Do you want extra peace of mind that your home is secure? If so, you needn't spend a fortune, and it's all thanks to Amazon owned company, Ring, who has just released a new budget-friendly way to protect your home. Introducing the Ring Indoor Cam, a compact plug-In HD security camera that lets you watch over the inside of your home whilst away from your property. While Ring is best known for its video doorbells, but the home security and smart home company also has a range of Stick Up Cams with prices ranging from £89 to a more premium security camera for £215. The Ring Indoor Cam- a compact plug-In HD security camera, is Amazon's hottest new release The new Indoor Cam, which is retailed at £49.99, is Ring's cheapest home security cam to date, meaning you can install budget-friendly security inside your home.

Syntiant, an Irvine, California-based startup with big name backers like Intel and Microsoft, said its custom chips could be used to push Amazon's Alexa into smaller, battery-powered devices like wearables and wireless headphones that wake themselves up when they hear the voice assistant's wake word or other commands. Amazon just approved its deep learning accelerators for use with Alexa Voice Services (AVS). The company's NDP100 can be programmed to continuously listen for 64 wake words or specific sounds--like glass breaking or a baby crying--with power consumption in the range of 150 uW and more than 100 KB of SRAM. "These chips are purpose-built for keyword spotting such as wake words like Alexa, and now our processors can be used for quickly developing voice applications in battery-powered devices," chief executive Kurt Busch said in a statement. Syntiant, which was founded by former engineering executives from Broadcom, has raised over $30 million in funding from investors including Microsoft's M12, Amazon's Alexa Fund, Applied Ventures, Intel Capital, Motorola Ventures, and Robert Bosch Venture Capital.

"Alexa, what's the weather going to be like today." It's taken decades for scientists to understand natural human speech to the point where voice-activated interfaces such as Alexa, the natural language processing system by Amazon, are sufficiently enabled to be successfully accepted by consumers. Alexa is who talks to users of Amazon's Echo products including the Echo, Dot and Tap, as well as Amazon Fire TV and other third-party products. Even since 2012, when the patent was filed for what would ultimately become Amazon's artificial intelligence system Alexa, there has been tremendous growth in capabilities and the credit for that growth goes to machine learning. For something that we do every day without giving it any thought, conversation between machines and humans is complex.

"Alexa, what's the weather going to be like today." It's taken decades for scientists to understand natural human speech to the point where voice-activated interfaces such as Alexa, the natural language processing system by Amazon, are sufficiently enabled to be successfully accepted by consumers. Alexa is who talks to users of Amazon's Echo products including the Echo, Dot and Tap, as well as Amazon Fire TV and other third-party products. Even since 2012, when the patent was filed for what would ultimately become Amazon's artificial intelligence system Alexa, there has been tremendous growth in capabilities and the credit for that growth goes to machine learning. For something that we do every day without giving it any thought, conversation between machines and humans is complex.

From time to time, usually on garbage night, the animals wander into Sivasubramanian's backyard to pillage his trash. But try as they might, he and his family had never managed to spot the intruders. "My wife really wanted to see these bears in action," says Sivasubramanian, Amazon's VP of machine learning. "She will always try to stay up looking for bears to visit, and she wants me to give her company." He founded his solution in DeepLens, a new video camera system from Amazon Web Services that lets anyone with programming skills employ deep learning to automate various tasks.

"Alexa, what's the weather going to be like today." It's taken decades for scientists to understand natural human speech to the point where voice-activated interfaces such as Alexa, the natural language processing system by Amazon, are sufficiently enabled to be successfully accepted by consumers. Alexa is who talks to users of Amazon's Echo products including the Echo, Dot and Tap, as well as Amazon Fire TV and other third-party products. Even since 2012, when the patent was filed for what would ultimately become Amazon's artificial intelligence system Alexa, there has been tremendous growth in capabilities and the credit for that growth goes to machine learning. For something that we do every day without giving it any thought, conversation between machines and humans is complex.

Voice controlled technologies are growing in popularity everywhere. From home automation to cab booking or ordering a meal, customers are getting pampered with the luxury of using voice to control things around them. In this blog post, I present a tutorial to build a voice-activated Oxford dictionary using Amazon Alexa. You can talk to the dictionary and ask for definitions, example usage, synonyms or antonyms of any English word present in the Oxford dictionary. Often I stumble across some word from a classic English literature.

Ther is as many frustrations with the whole "Alexa" product as their are benefits. Not specifically related to this echo dot version of it. The dot is the best way to open yourself to this world of IoT and voice enabled home, cheap and cheerful the tech is awesome, but it is let down by the company vying to gain market share along with its competitors. Remember when Silicon valley was run by dreamers and open source ideals like in the fist season of "Halt and catch fire!" if your a techie over 40...watch it! The echo for example, wont play from your Apple Itunes library because of business rivalry.

If you let your imagination run wild in the world of automatic speech recognition (ASR) and natural language understanding (NLU), and you throw in a little fear, uncertainty and doubt (FUD), you can come up with several illegal uses for systems such as Alexa Voice Service, Google Home, Siri, and Cortana that will give you pause. As I have previously written, Alexa is the "killer app" for the Internet of Things (IoT). It is not dangerous, at least not in its present form. But just for fun, let's play pretend in our world of infinite possibilities. Please note: I'm going to use "Alexa" for the wake word in the following examples.

There was a recent tabloid piece featuring a video of a woman asking Alexa if it was connected to the CIA. At the time, the Echo Dot she was speaking to did not respond to the question. She asked a few times, and each time the Echo was silent. It was an amusing video, but the Daily Mail's clickbait headline raises a legitimate question: Can Alexa lie? How Alexa Works According to Amazon, you can "use the Alexa Voice Service (AVS) to add intelligent voice control to any connected product that has a microphone and speaker."