Recently, neural networks have become the tool of choice for a variety of tough computer-science problems: Facebook uses them to identify faces in photos, Google uses them to identify everything in photos. Apple uses them to figure out what you're saying to Siri, and IBM uses them for operationalizing business unit synergies. Can neural networks help you find the emoji when you really need it? This post will outline some of the engineering behind Dango, allowing us to automatically learn from hundreds of millions of real-world uses of emoji, and distill this down to a tool small and fast enough to predict emoji for you in real time on your phone. Dango is a floating assistant that runs on your phone and predicts emoji, stickers and GIFs based on what you and your friends are writing in any app.

Giving up the controls was as breathtakingly simple as touching two turquoise coloured buttons below the steering wheel with both thumbs. A melodious bell chimed, a line of LEDs stretching across the dashboard switched from red to yellow to aqua blue, and the steering wheel withdrew slowly and serenely from my sweaty grasp. But any nervousness I felt stemmed far more from being required to steer a multimillion-euro research vehicle the few kilometres from German car manufacturer Audi's headquarters in Ingolstadt, Bavaria, on to the autobahn, than the fact that "Jack" had now taken over the driving. I had signed a liability waiver before embarking on the road test, which required me to accept the risks of a piloted journey on the autobahn, including possible injury or death. But once Jack was calling the shots, it took remarkably little time to get used to the idea.

This year at Cannes Lions, judges are recognizing work at the intersection of AI and advertising. The Next Rembrandt, a campaign by JWT Amsterdam for the Dutch bank ING, used "deep learning" algorithms to analyze more than 168,000 painting fragments by the 17th century master to create a digital image based on his existing work. Then, a 3D printer fabricated a painting based on the image, replicating the depth and texture of original Rembrandt works to a surprising degree. The campaign took home a Grand Prix at Cannes in the Cyber Lions category, which recognizes "ideas indigenous to, or enhanced by, the digital environment," and an additional Grand Prix in the Creative Data Lions category. This year's entries were more sophisticated than those in the past, said Cyber Lions jury president Chloe Gottlieb, SVP and executive creative director at R/GA. "The data is not an output from the creativity," said Gottlieb.

A group of researchers from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) have developed a way to train artificial intelligence to read and interpret pathology images. Scientists tested the artificial intelligence (AI) during a competition at the annual International Symposium of Biomedical Imaging, where it was tasked to look for breast cancer in images of lymph nodes. It turns out it can detect breast cancer accurately 92 percent of the time and won in two separate categories during the contest. Andrew Beck from BIDMC says they used the deep learning method, which is commonly used to train AI to recognize speech, images and objects. They fed the machine with hundreds of slides marked to indicate which parts have cancerous cells and which have normal ones.

Washington (AFP) - If it has to make a choice, will your autonomous car kill you or pedestrians on the street? The looming arrival of self-driving vehicles is likely to vastly reduce traffic fatalities, but also poses difficult moral dilemmas, researchers said in a study Thursday. Autonomous driving systems will require programmers to develop algorithms to make critical decisions that are based more on ethics than technology, according to the study published in the journal Science. "Figuring out how to build ethical autonomous machines is one of the thorniest challenges in artificial intelligence today," said the study by Jean-Francois Bonnefon of the Toulouse School of Economics, Azim Shariff of the University of Oregon and Iyad Rahwan of the Massachusetts Institute of Technology. "For the time being, there seems to be no easy way to design algorithms that would reconcile moral values and personal self-interest -- let alone account for different cultures with various moral attitudes regarding life-life tradeoffs -- but public opinion and social pressure may very well shift as this conversation progresses."

Elon Musk keeps warning us that artificial intelligence is a real threat, but he's also contributing to the evolution of machines. Sure, he might not be doing the real coding, but the smart Tesla cars that will be able to drive themselves around town in the following years will have to be programmed to handle a particular type of emergency: hitting a pedestrian or saving the lives of the passengers inside the vehicle. DON'T MISS: Galaxy Note 7 shaping up to be Samsung's most powerful smartphone yet Tesla and other carmakers are already working on self-driving cars, but autopilot features are yet to be finalized – or completely safe. Even if driverless cars would be readily available to buyers, the legal framework that would allow such machines to operate on public roads isn't there yet. That means self-driving vehicles aren't legal as long as they're not regulated. Overall, self-driving cars are supposed to increase the safety of everyone on the road, and minimize the risk of accident.

Elon Musk keeps warning us that artificial intelligence is a real threat, but he's also contributing to the evolution of machines. Sure, he might not be doing the real coding, but the smart Tesla cars that will be able to drive themselves around town in the following years will have to be programmed to handle a particular type of emergency: hitting a pedestrian or saving the lives of the passengers inside the vehicle. DON'T MISS: Galaxy Note 7 shaping up to be Samsung's most powerful smartphone yet Tesla and other carmakers are already working on self-driving cars, but autopilot features are yet to be finalized – or completely safe. Even if driverless cars would be readily available to buyers, the legal framework that would allow such machines to operate on public roads isn't there yet. That means self-driving vehicles aren't legal as long as they're not regulated.

The Mill's Blackbird is a fully adjustable car rig used to create photorealistic CG vehicles. VP of Advanced Manufacturing Technologies advises on budgeting, partnerships and common mistakes for SMES. BREAKING: What Does Brexit Mean for UK Manufacturing? Proposes Cloud Robotics for 3D Print Farm Automation Tesla Motor Company wants to purchase SolarCity. Here are some ways that such a merger could affect the solar industry.

Silent Hill composer Akira Yamaoka and one half of the two-man studio behind PlayStation-exclusive Sound Shapes, Shaw-Han Liem are scheduled to perform as well. If none of those names make you want to book a flight to Kyoto, Japan maybe, just maybe word that Seaman creator Yoot Saito will be in attendance too. Once again, Indie Megabooth is helping organize the event and it all goes down July 9th and 10th. When our own Jessica Conditt spoke with Indie Megabooth's President and CEO Kelly Wallick last year, Wallick said of BitSummit that it had "a tremendous impact on how not only local developers see their own community, but how the greater international community does as well."

Machine-learning algorithms are ubiquitous these days. Technology giants like Netflix Inc., Amazon.com Inc. and Google Inc. use them to suggest items customers might like based on their past browsing. Scientists use them to identify gene mutations associated with treatment resistance or amenable to targeted drug therapy. And doctors use them for image classification, early disease detection and better treatment outcomes. These algorithms can improve quality of life and can even help save lives.