Amazon Echo Dot vs. Google Home Mini


You've just noticed a great price on an Amazon Echo Dot or Google Home Mini smart speaker. The prices are intended to make them impulse purchases, because both Amazon and Google are desperate to get their foot in the door of your home. Voice assistants and smart home automation are expected to be the next big thing in tech, and both companies know that once you experience the convenience of a smart speaker in one room, you're likely to want it in others. Before making a purchase, you really should do your homework. It all comes down to the hardware, the capabilities of their digital assistants, and the way they can do things such as play music and control other smart devices in your home.

Amazon Fire TV Cube preview: Alexa still needs work as a TV guide


When you consider the popularity of Amazon's virtual assistant Alexa and the company's Fire TV streamers, it was really just a matter of time before the folks at the Everything Store decided to mash them up. In fact, Amazon already has, sort of: The company started down that path last year by giving Echo devices the ability to pass commands along to a Fire TV or Fire TV Stick. With the new Fire TV Cube, though, Amazon is trying to break down the wall between Alexa and the content you want to see altogether. Now, we've only had our Fire TV Cube for about two days, and that's just not enough time to really put the streaming box through its paces -- instead, read on for our first impressions about Amazon's new hardware and the virtual assistant that will ultimately make or break it. The Fire TV Cube itself is a glossy black box that, aside from the blue ring that lights up when Alexa is listening to you, looks about as nondescript as a bit of home theater kit can be.

The Impact Of Artificial Intelligence In The Everyday Lives Of Consumers


Artificial intelligence might conjure images of a robotic Haley Joel Osment in Spielberg's film AI, or it may make you think of Data from Star Trek. Yet the impact of artificial intelligence in everyday life is more understated and far-reaching than science fiction might suggest. Artificial intelligence has the potential to offer $15.7 trillion to the global economy by 2030. You already encounter it every day. Think of all those times Amazon recommended a book to you or Netflix suggested a film or TV show.

VTech VC931 HD Pan and Tilt Home Monitoring Camera review: Solid security at an affordable price


VTech might be synonymous with cordless phones in most people's minds, but the company has also put out a succession of reliable baby monitors, many of which we've reviewed. It's not a big leap from baby cams to security cams, and the VC931 HD Pan and Tilt Home Monitoring Camera shows the company is as adept at helping you keep your house as safe as your other precious assets. The VC931's ball-shaped design takes its cue from vintage webcams, a look home security monitors have moved away from over the last few years. Despite its somewhat dated appearance, this camera is packed with the features security DIYers prize: motion detection, night vision, two-way talk, and even a sleep mode for privacy. You also have your choice of video storage options--you can save video directly to the camera or to the cloud.

How Sonos Is Trying to Future-Proof the Smart Speaker


As smart speakers gained popularity, a big name in the space seemed to have fallen by the wayside. Sonos pioneered a high-quality connected home-theater speaker system in the early 2000s. In 2016, it began making a shift to support streaming music services on its products. It shipped its first assistant-laden speaker, the Alexa-enabled Sonos One, in 2017, but has now taken that idea even further. The company, on Wednesday, unveiled Beam, a smart sound bar, which will soon be virtual assistant agnostic: It's shipping with Alexa, gaining Siri control with AirPlay 2 in July, and adding Google Assistant compatibility later this year.

Google s Clips camera is an AI mini camera

Daily Mail

Alphabet Inc's Google is betting this combination proves irresistible with the Tuesday launch of Google Clips, a pocket-sized digital camera that decides on its own whether an image is interesting enough to shoot. The $249 device, which is designed to clip onto furniture or other fixed objects, automatically captures subjects that wander into its viewfinder. But unlike some trail or security cameras that are triggered by motion or programmed on timers, Clips is more discerning. Google has trained its electronic brain to recognize smiles, human faces, dogs, cats and rapid sequences of movement. The $249 device, which is designed to clip onto furniture or other fixed objects, automatically captures subjects that wander into its viewfinder.

[D] List of Neural Network Attacks • r/MachineLearning


I am working on automated testing platform for neural networks and I would like to know what kinds of attacks you would like to see automated?

[D] Is there any app that uses AI to increase resolution? • r/MachineLearning


After 3 hours of Googling, I have to ask you guys. I'm looking for an app or command-line tool that is able to increase resolution using AI. Something like Let's Enhance but free. I know about Alex J. C.'s neural-enhance but my PC is not able to run Docker. And without Docker, the installation is super complex. Also, I don't have Nvidia graphics card that supports CUDA.

[N] The most versatile labeling tool for machine learning • r/MachineLearning


We recently started open beta for Labelbox. You can simply connect your data, choose or customize an open source labeling interface, invite team members and start labeling. Our labeling interfaces are open source, meaning, that you can customize it to work with any kind of data such as images, videos, point clouds, medical DICOM and many more (as long as your data can be loaded in the browser). We'd love to hear your feedback and ideas to improve this further.

[D] Multivariate seq2seq model • r/MachineLearning


I am working on a problem and think that a sequence to sequence LSTM model would be a good approach. However, I am dealing with a multivariate input sequence. Every seq2seq example I have found is for machine translation and uses a one dimensional input sequence. Any examples or ideas on how to implement would be greatly appreciated.