In Shanghai, a prototype of a new 24-hour convenience store has no staff, no registers, and the whole thing is on wheels, designed to eventually drive itself to a warehouse to restock, or to a customer to make a delivery. The startup behind it believes that it's the model for the grocery store of the future–and because it's both mobile and far cheaper to build and operate than a typical store, it could also help bring better access to groceries to food deserts and rural areas. In a dense urban neighborhood with high rents, the low-cost system could make it possible for a group of neighbors to launch their own local grocery. "The biggest costs to have a store are the place itself to rent in a central city–it's ultra-expensive–and then staff is really expensive, and we're removing both of these at the same time," says Tomas Mazetti, one of the founders of Wheelys, the Sweden-based startup that is developing the store along with China's Hefei University and Himalayafy, an offshoot of Wheelys focused on the technology inside the store. Wheelys already makes small mobile coffee carts designed to help young entrepreneurs compete with chains like Starbucks when they don't have the funds to rent space for a standard cafe.

The Pentagon has awarded an $11 million contract to build a'combined-arms squad' of human and robotic capabilities. Under the new agreement, Six3 Advanced Systems will'design, develop, and validate' prototypes of the new system, which is expected to be completed by mid-2019. It comes as experts have increasingly warned that robotic weapons will soon play a much larger role in warfare than they already do, and could even overtake human presence on the battlefield in the next decade. The Pentagon has awarded an $11 million contract to build a'combined-arms squad' of human and robotic capabilities. Under the new agreement, Six3 Advanced Systems will'design, develop, and validate' prototypes of the new system.

Companies new to the space can learn a great deal from early adopters who have invested billions into AI and are now beginning to reap a range of benefits. After decades of extravagant promises and frustrating disappointments, artificial intelligence (AI) is finally starting to deliver real-life benefits to early-adopting companies. Retailers on the digital frontier rely on AI-powered robots to run their warehouses--and even to automatically order stock when inventory runs low. Utilities use AI to forecast electricity demand. A confluence of developments is driving this new wave of AI development.

Starship Technologies' delivery bots have been dropping off lunches in Europe and the US with increasing regularity, and governments are slowly warming to the idea. State legislatures in Virginia and Idaho recently granted official permission for small delivery robots to operate on sidewalks, and now Estonia(!) has offered its approval as well. The measure passed 86 to 0 in the country's parliament yesterday, making Estonia the first country in the EU to officially bless these adorable, food-slinging robots. There are, obviously, a few stipulations. The robots in question can't be taller than one meter, longer than 1.2 meters, or weigh more than 50 kilograms.

Floral tributes to Spanish national Ignacio Echeverria, 39, lay on London Bridge in London. Facebook said Thursday it's cracking down on terrorist activity on its platform. SAN FRANCISCO -- With attacks on Western targets increasing pressure on Facebook, the giant social network says it's making a new push to crack down on terrorist activity by using sophisticated algorithms to mine words, images and videos to root out and remove extremists' propaganda and messages. Artificial intelligence can't do the job alone, so Facebook says it has amassed a team of 150, including counterterrorism experts, who are dedicated to tracking and taking down propaganda and other materials. It's also collaborating with fellow technology companies and consulting with researchers to keep up with the ever-changing social media tactics of the Islamic State and other terror groups.

Editor's note: This is a followup to the recently published part 1 and part 2. You may want to check them out before moving forward. In the last article we will talk about basics of deep learning from the lens of Convolutional Neural Nets. In this article we will focus -- basic deep learning using Keras and Theano. We will do 2 examples one using keras for basic predictive analytics and other a simple example of image analysis using VGG.

Maths is the language of science. Perhaps a little more surprisingly, maths is also increasingly integral to biology. Computer scientist and World War II code-breaker Alan Turing was one of the first to suggest that biological phenomena could be studied and understood mathematically. In 1952 he proposed a pair of mathematical equations which provide an explanation for how pigmentation patterns might form on animals' coats For hundreds of years mathematics has been used, to great effect, to model relatively simple physical systems. Newton's universal law of gravitation is a fine example.

From'gutties' to'tattie-champer', Scottish people have some of the most weird and wonderful slang words in the world. While the jargon may make perfect sense to Scots, the words can garner some baffled looks from English people. Scientists are now using eye-tracking technology to analyse the responses of English people to the slang, in the hopes of gaining insights into how people use accent and dialect to comprehend sentences. From'gutties' to'tattie-champer', Scottish people have some of the most weird and wonderful slang words. Researchers from Dundee University are hoping to understand how English speakers understand Scottish dialects, and vice-versa.

Here's some news that's not fake: Not everything you can read on the internet is true. Trouble is, it can be hard to know truths from untruths, and there's evidence untruths travel faster. Many hands have been wrung in recent months over what to do about made-up news stories created to convert social media shares into page views, ad dollars, and perhaps even political traction. The modest first results from an effort to crowdsource machine learning technology to help stem the flood of falsity are a reminder that machines may help us grapple with fake news--but only if humans take the lead. Late last year, Facebook's director of AI research Yann LeCun told journalists that machine learning technology that could squash fake news "either exists or can be developed."

As more video providers finding audiences directly through apps and the web -- and away from pay-TV-based packages -- we're seeing the emergence of more analytics to measure how those videos are delivered, and who is watching them. Conviva, a company that has developed a set machine-learning-based algorithms to do just that, today announced that it has raised $40 million from strategic, new and existing investors to continue building out its platform and business. Investors include Australia's sovereign wealth fund Future Fund, NEA, Foundation Capital, and Time Warner Investments. The company is not disclosing its valuation, but a source close to the company confirms that it is around $300 million. Conviva has raised $121 million to date. If you've had your eye on the streaming video industry for a while, you'll know that Conviva is not exactly a spring chicken.