Summary: As deep learning expands those capabilities are finding their way into the not-for-profit community in the service of conserving the earth's wildlife and forests. The for-profit world may be driving AI but it's a solution to many problems in the not-for-profit world as well. We were particularly impressed by the use of deep learning technologies to solve problems in the pursuit of preserving natural resources including many species of animals and fish, and also including forests. For the most part the data problems that nature conservancy organizations face fall into these categories. Going back 20 years this meant putting intrepid feet on the ground with binoculars and note pads.

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. FLASH Robotics has recently previewed its new EMYS robot head. The popping-out eyes are gone in this version, which aims to be more kid friendly, but it remains one of the weirdest looking and most expressive robot heads we've ever seen: This video is part of the DARS 2016 paper, "Programmable Self-Disassembly for Shape Formation in Large-Scale Robot Collectives," by Melvin Gauci, Radhika Nagpal, and Michael Rubenstein.

Do you know what is common between San Bernardino's shooting spree and the terrorist attacks in Paris last month? Jillennials, Jihadis who are Millennials. We mine data worldwide, a lot of it, a ton of it, every day and every night, and we do this for a living at PredictifyMe. We have partnership with the United Nations to protect school-goers in Pakistan, Nigeria, Sudan and Lebanon using our proprietary software SecureSim and Soothsayer . When the Paris attacks unfolded, we asked ourselves (and our database), how can we use data sciences to prevent something like this from ever happening again. Can we find out what factors influence an otherwise ordinary citizen to become radicalized?

The 9,500-year-old Jericho Skull contains a human cranium packed with soil and covered with plaster to replicate individual facial features. Sea shells are used to represent the deceased's eyes. Researchers have reverse-engineered the ancient ritual practice that created one of The British Museum's most important artifacts--the Jericho Skull--revealing the face of a man whose remains were decorated and venerated some 9,500 years ago. The Jericho Skull is also considered the oldest portrait in the museum's collection, and, until recently, its most enigmatic: a truncated human skull covered in worn plaster, with eye sockets set with simple sea shells that stare out blindly from its display case. A facial reconstruction based on the human remains found inside the Jericho Skull.

In late December 2016, I announced a small gift of 10 Deep Learning books to people interested in or working in AI. This is my way of paying back to the community which has been extremely generous with ideas and code. I asked people to send me an email letting me know their interest in AI and their contributions to the community. Here is the video of the announcement. I received nearly 300 emails from people from around the world -- pretty much every continent other than Antarctica!

Olivia is patient and tireless, with soft brown eyes and a gentle bedside manner. She wears the light blue scrubs and fob watch of an NHS nurse, which in fact she is. But Olivia is also a robot, a virtual avatar accessed on a smartphone app. Currently on trial with the groups responsible for Vanguard in NHS Dudley Clinical Commissioning Group in the West Midlands, the NHS service for non-emergency calls, Olivia will check your symptoms, give advice on treatment and help schedule an appointment, whether that's in English, Spanish or Dutch; she speaks all three, as well as Czech and Japanese. Is it the same as talking to a live nurse?

Huawei has made a name for itself by partnering with Google on the final Nexus phone and selling affordable, feature-packed handsets in China, but now the company is looking to stand on its own in the U.S. Not only is it finally launching its 6.9-inch Mate 9 phablet to the States, it's bringing along a new friend along for the trip: Alexa. Among the features of the Mate 9--aside from its giant 1080p display--are a 4,000 mAh battery, 5A fast charging through its SuperCharge technology, and a Leica-made dual-lens camera that combines a 12MP standard camera with a 20MP monochrome one to capture more depth and detail. Also on board is Huawei's Hybrid Zoom system that delivers 2x magnification, and a 4-in-1 hybrid auto-focus that combines "laser focus, phase detection focus, depth focus, and contrast focus." The Mate 9 is powered by Huawei's in-house Kirin 960 chipset, which features an ARM Cortex-A73/A53 Octa-core CPU and Mali G71 Octa-core GPU. The company boasts that the chip utilizes a "Machine Learning Algorithm that helps deliver a fast and smooth experience, even after 18 months of continuous use."

BlackBerry QNX is off to a great start at CES 2017. Today they announced what they are calling their "most advanced and secure embedded software platform for autonomous drive and connected cars," which is also known as QNX SDP 7.0. "With the push toward connected and autonomous vehicles, the electronic architecture of cars is evolving – from a multitude of smaller processors each executing a dedicated function, to a set of high performance domain controllers, powered by 64-bit processors and graphical processing units. To develop these new systems, our automotive customers will need a safe and secure 64-bit OS that can run highly complex software, including neural networks and artificial intelligence algorithms. QNX SDP 7.0 is suited not only for cars, but also for almost any safety- or mission-critical application that requires 64-bit performance and advanced security. This includes surgical robots, industrial controllers and high-speed trains."

Ideas forum TED ended its year by picking its top 10 TED Talks for the year, and we'll start 2017 off by selecting a handful of techie ones we figure might be of particular interest to Network World readers. These talks, published during 2016, touch on subjects ranging from AI to the Blockchain to Linux (as discussed by Linus Torvalds himself). One nice thing about the TED YouTube channel is that videos are now captioned, so yes, you can digest these videos even when you're not in a position to actually listen to them... Among other things we learn that Torvalds really likes to work alone, maybe with the exception of his cat hanging out on his lap. Neuroscientist and philosopher Sam Harris describes how "The gains we make in artificial intelligence could ultimately destroy us."

One key concern raised in the video is the notion of uncontrolled development, "as impoverishment, slums and shantytowns rapidly expand alongside modern high-rises". Dharavi in Maharashtra India, Neza-Chalco-Itza in Mexico City and Kibera in Nairobi are prominent examples of such developments. However such massive developments do not happen overnight and Ilievski suggests that machine learning models can "capture the patterns of urban change driven by a diverse set of context factors" like economic growth, demographics changes, proximity, and neighborhood conditions. Ilievski demonstrates that machine learning can accurately predict how land use evolves over time across categories like undeveloped, main street, peripheral street, industry, house, education, park, etc.