Breakthroughs, discoveries, and DIY tips sent every weekday. Our smartphones have transformed the way we take photos and videos and our relationship to these digital memories. Most of us will snap at least some pictures and clips every day with the gadget that's always close at hand. If you want to get more creative with photos on your phone, you can. Sometimes you're going to want to take a picture remotely, without your phone in your hand and your finger over the shutter button--maybe you're taking a wide shot of a large group, or you want to capture a lot of your surroundings.

If your real-life dog isn't as obedient as you'd like, a Chinese firm may have a perfect robotic replacement for you. Called Go2, the'intelligent quadruped robot' can dance, do a handstand while wiggling its legs in the air and even rush to greet its owner – just like a real pooch. It can also climb the stairs, play fetch, emit music from a built-in speaker and even take photos on command, which are sent straight to the owner's smartphone. A new promo clip shows the bot showing off its tricks, including jumping between rocks and even working its way around a hedge maze. Go2 is similar to the Spot robot dog from rival Boston Dynamics, although it's been designed for consumers at a hefty price tag of $1,600 (£1,240).

The monochromatic black-and-green that defined night vision for decades is quickly receding into the past. The U.S. military already issues night-vision goggles that outline people and other objects in bright white, and researchers across the world are racing to develop even more advanced ways of seeing in the dark. A new proof-of-principle study offers intriguing hints about how the next generation of such technology might work. In a paper published Wednesday in the academic journal PLOS ONE, researchers demonstrate that a deep learning algorithm can build a full-color reconstruction of a scene using only infrared images the human eye can't see. These findings suggest an exciting new future for night-vision technology.

Every year we get closer and closer to becoming a society that has everything automated for us using artificial intelligence. I myself can walk into my bedroom and say "Alexa, it's bedtime." She will then proceed to turn off my smart lights, ask me if I need an alarm set, turn on my window AC and then my ambient sounds. If I'm driving down the road and need to make a hands-free call, I simply say, "Hey google, call dad" and just like that I can talk hands-free via blue-tooth without lifting a finger. Of course there are theories that we as a society are becoming more reliant on technology which makes us lazy and dumb, but I ignore those types of thoughts and welcome the new age.

FaceSwap is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. Make sure you check out INSTALL.md before getting started. When faceswapping was first developed and published, the technology was groundbreaking, it was a huge step in AI development. It was also completely ignored outside of academia because the code was confusing and fragmentary. It required a thorough understanding of complicated AI techniques and took a lot of effort to figure it out.

China just stepped up its effort to use technology to police the country deploying traffic robots to help law enforcement in the city of Handan in China's Hebei province. Xinhua, the state-sponsored news agency reported a team of robots has been deployed to assist traffic police in patrolling, providing citizens with information and offering up accident alerts. The artificial intelligence robots have sensors that enable them to move autonomously in every direction similar to a human. These robots can take photos of cars that violated parking rules, verify driver's licenses and even direct traffic. The government plans to use the robots 24 hours a day, deploying them in public locations including train stations and airports.

At Coolest Projects 2018, we showcased the Wia platform with a facial recognition ferris wheel -- if you're smiling, the wheel turns; if you're not smiling, it stops. Today, we're going to talk about how we built this project, and maybe you'll be inspired to build something like it! For the Ferris wheel itself, we decided to go with this Lego kit. It took about 7 hours or so to complete. This kit has an optional add-on motor, but we decided to create our own solution.

A former Facebook executive is spearheading a new Silicon Valley startup that hopes to build a digital wall at the US-Mexico border. Palmer Luckey, the 25-year-old who led Facebook's virtual reality unit Oculus, has now launched a firm focused on merging defense and consumer tech. Called Anduril Industries, the company is now working with Customs and Border Protection in California to test out its virtual wall, which has already found some success, according to Wired. Anduril has also set up several towers, equipped with antennas and other sensors, at a ranch in Texas to test out out the technology. There, the firm has constructed three, portable 32ft towers with radar, antenna and laser-enhanced cameras, as part of a system its calling Lattice, Wired noted. Lattice can pick up on and identify motion that's as far as two miles away.

The Department of Homeland Security (DHS) is trialing a new facial recognition technology at US borders aimed at keeping track of people as the enter and exit the country. Called the Vehicle Face System, the project is being spearheaded by Customs and Border Protection at the Anzalduas Border Crossing, located at the southern tip of Texas, in August, according to the Verge. Sophisticated cameras will take photos of people arriving and departing the US and match them with government documents like visas and passports. The cameras are expected to remain in operation at the crossing for a full year. A customs spokesperson told the Verge that the purpose of the project will be to'evaluate capturing facial biometrics of travelers entering and departing the US and compare those images to photos on file in government holdings'. In the past, facial recognition technology struggled to correctly identify individuals behind a windshield due to glares and other obstructions.

Well, time to ask Google Style AI to match your outfit. For a long time, fashion startups and retailers have had their sights set on making fashion apparel recognisable and searchable by AI's image recognition. The idea behind was always to snap a picture of someone walking down the street wearing a super dress, then, a few seconds later have Google telling you about the brand, model, style, material price and where to buy it from. After years of research, development, investments, startups and technology organisations mixing in, finally, Google launched its version of the AI fashion recognition innovation. Called'Style Match,' the feature builds on the existing'Google Lens' technology which lets users take photos of any fashion items and find other similar products.