A new leaked photo may have just given us a sneak peek at Amazon's first ever touchscreen-enabled Echo, and if these images are to be believed, well ... the device is absolutely hideous. A photo uncovered by AFTVnews shows a boxy device that's reportedly Amazon's first Echo with an integrated touchscreen. SEE ALSO: Man hacks his Alexa to speak out of a skull and it's horrifying The photo shows a rectangle speaker with a large touchscreen and what appears to be a camera at the top. Exclusive: This is Amazon's new Echo with a built-in touchscreen https://t.co/MSKgWni50S AFTVnews says it found the low resolution image on Amazon's own servers.

While Tinder users have been analyzing profile pictures of potential dates, a programmer has been stealing them for artificial intelligence experiments focused on facial recognition. Some 40,000 photos were scraped from the dating app, all of users in the San Francisco Bay area, by a member of Kaggle – a platform focused on machine learning that was recently acquired by Google. The data set, named'People of Tinder', consisted of six downloadable zip files and each housed about 10,000 profiles pictures in each. Some 40,000 photos were scrapped from the dating app, all of users in the San Francisco Bay area, by a member of Kaggle. The plan was to use photos in artificial intelligence research focusing on facial recognition.

In the hope of making Alexa as life-like as possible, Amazon has introduced new updates to its AI assistant's voice. Alexa can now whisper, bleep out swear-words, add emphasis to words and even be programmed to say regional-specific phrases. The update has been rolled out to devices in the US, UK, and Germany. Amazon's Alexa can now whisper, bleep out swear-words, add emphasis to words and even be programmed to say regional-specific phrases. The changes are to Amazon's Speech Synthesis Markup Language (SSML) – a standardised markup language that allows developers to control pronunciation, intonation, timing and emotion.

Last week, the dating app Feeld released a bot that, theoretically at least, lets you find out if your coworkers have crushes on you. The way it works is this: Once the bot is installed in the office chat platform Slack, you message the bot with the name of your crush. If they have also messaged the bot with a confession of love for you, the bot will let you know you like each other. The first thing I thought when I read about this was: This is a technology that Laura Linney's character from Love Actually--a nervous turtlenecked mouse who loves her hot coworker Karl silently and obsessively from afar--would use if the movie was set in the modern day. "@karl," she would type into Slack, chewing her nails as she looked at Rodrigo Santoro's bespectacled avatar and hoped beyond hope that the desperate act would deliver her from her unrequited longing.

We often become so obsessed with the portrayal of personal investing as a product or extension of technology that we forget that wealth management is, at its core, a profession rooted in personal relationships. Truly gifted advisors understand wholeheartedly that a client relationship is an ongoing dynamic interaction where the portfolio often is no more than the present tense of multigenerational well-being, purpose and aspiration. Emotions are an integral part of a human existence. When I sit down with clients I seek to understand each facet of their behavioral dynamics, as it is irresponsible (and ultimately ineffective) to recommend and defend a customized wealth strategy without this fulcrum of relevance. Countless studies have depicted the relationships and ambiguities that intertwine emotional stability and financial security.

FILE - In this Tuesday, Oct. 4, 2016, file photo, Google Home, right, sits on display near a Pixel phone following a product event, in San Francisco. Voice assistants such as Google Home, Apple's Siri and Amazon Alexa have always been susceptible to accidental hijack. Burger King's manipulation of Google Home illustrates the vulnerabilities intrinsic to voice assistants that can be targeted by brands, or worse, hackers. But the stunt might help speed up the next developments for home voice assistants: individual voice recognition and even image recognition.

This article originally appeared on the Motley Fool. Match Group (NASDAQ:MTCH) reported first-quarter results on May 2. The parent company of Tinder and Match.com Match Group's board of directors authorized a stock buyback program of up to 6 million shares of Match's stock. Our stock has tended to fluctuate fairly meaningfully, and the buyback authorization enables us to take action if the circumstances warrant. This is not a buyback authorization where we plan to go into the market aggressively.

Alexa-enabled speakers like the Amazon Echo (which is still on sale at its lowest price of 2017) and the Echo Dot are terrific, but they're inherently limited. What happens when you're in a room without an Echo speaker? What happens when you're in the back yard? What happens when you're in the car? What happens when you're anywhere other than the one or two rooms where you keep your Amazon speaker?

Google's offering voice assistants to your next DIY computing project, we review the new BlackBerry phone (yes, it is 2017), and test-ride an electric dirt bike. Raspberry Pi has teamed up with Google to bring voice integration to the Pi with a clever combination of hardware and software. Packed with the same tech that powers Google Home, the companies have released a kit that transforms a regular Raspberry Pi 3 into your very own virtual assistant. The collaboration marks the first time that Google has produced something for hobbyists. The initiative is called "Artificial Intelligence Yourself" (AIY), and Google's project director said that he wants to create more hobbyist uses for Google software.

The electronics industry over the past several years has made tremendous strides in creating artificial intelligence in a manner imagined by Allen Turing in the 1940s. The convergence of algorithmic advances in multilayer neural networks, the evolution of PC graphics processing units as massively parallel processing accelerators, and the availability of massive data sets fueled by the Internet and widely deployed sensors -- big data -- has enabled a renaissance in software neural network modeling techniques commonly referred to as "deep learning," or "DL." In addition, the evolution of 3D graphic shader pipelines into general purpose compute accelerators drastically reduced the time required to train DL models. Training time for applications as diverse as image recognition and natural language processing has been reduced from months to days -- and in some cases, hours or even minutes. These solutions have enabled new AI applications ranging from computational science to voice based digital assistants like Alexa and Siri.