Amid Syria's five-year-old civil war and Iraq's push to expel the Islamic State group from its major cities, President Barack Obama has quietly reneged on promises of "no boots on the ground" in recent years. But another American ground battle lingers just outside of the spotlight, in Somalia. A campaign involving private contractors, drone strikes and up to 300 U.S. Special Operations troops against the al Qaeda offshoot group al-Shabab has been escalating there over the past year, the New York Times reported Sunday, citing "senior American military officials." Operations in the country, located in the eastern "Horn of Africa," are expected to expand, according to the Times, on top of efforts that have involved the Navy's SEAL Team 6, weekly raids with troops from nearby Kenya and Uganda and interrogation of prisoners. The American use of force there hasn't exactly been welcome. At the end of September, for instance, Somalia's Security Minister Osman Issa accused the U.S. of killing 22 Somali soldiers in an airstrike, the result of bad intelligence information.

This week in San Diego, Singularity University hosted its annual Exponential Medicine conference. The conference aims to connect the dots between healthcare disciplines and cutting-edge tech by convening medical practitioners, technologists, entrepreneurs, and over 80 expert speakers from the field. It's easy to say "healthcare is broken" and call it a day, but a quote from brilliant thinker Maria Popova reminds us of the power of optimism to create change: There's still considerable work to be done to create more effective healthcare systems in the US and worldwide. That said, at the conference we learned about incredible progress we can both celebrate and focus on moving forward. Healthcare as we've known it for decades is evolving.

Four people were killed, including two children. "We were looking into all these different stories, like the psychology of the drone pilot, all the crazy, messed-up stuff that surrounds it," says Killbox programmer Albert Elwin on the IndieCade show floor in Los Angeles. "It's all really dark and depressing -- it's absolutely in some ways a difficult project to work on because you get kind of consumed by the reality of it." Since 2004, the US has conducted more than 400 drone strikes across Pakistan alone that have killed up to 4,000 people, according to the Bureau of Investigative Journalism. Hard statistics don't exist in the world of UAV warfare, but the Bureau estimates between 423 and 965 civilians have been killed in unmanned strikes on Pakistan, including as many as 207 children.

A new age is dawning. Whether it is a wonderful one or a terrible one remains to be seen. Look around and the signs of dizzying technological progress are difficult to miss. Driverless cars and drones, not long ago the stuff of science fiction, are now oddities that can occasionally be spotted in the wild and which will soon be a commonplace in cities around the world. With a few flicks of a finger, we can use our phones to order up a meal, or a car, or a translation for a waiter's query in a foreign country. Gadgets such as the Amazon Echo are finding their way into living rooms, where they sit listening, ready to comply with a voice command. Just a few years ago, one could dismiss the digital age as consisting of little more than social networks and cat videos; no longer.

With the advent of large-scale whole-genome variation data, population geneticists are currently interested in considering increasingly more complex models. However, statistical inference in this setting is a challenging task, as computing the likelihood of a complex population genetic model is a difficult problem both theoretically and computationally. In this paper, we introduce a novel likelihood-free inference framework for population genomics by applying deep learning, which is an active area of machine learning research. To our knowledge, deep learning has not been employed in population genomics before. A recent survey article [1] provides an accessible introduction to deep learning, and we provide a high-level description below.

Rather than leading to the violent downfall of humankind, artificial intelligence is helping people around the world do their jobs, including doctors who diagnose sepsis in patients and scientists who track endangered animals in the wild, experts said Thursday (Oct. Advancements in the field of artificial intelligence (AI) haven't always been met with enthusiasm. Famed astrophysicist Stephen Hawking warned on several occasions that a fully developed AI could destroy the human race, and Hollywood sci-fi movies are rife with fierce robots battling humans for control. But at yesterday's conference -- attended by the country's leading researchers, innovators, entrepreneurs and students -- scientists explained how newly developed AI is accelerating research and improving lives. Here is a look at five AI inventions that are already redefining technology.

The Cooper Hewitt Design Museum houses an impressive collection of designed objects that chronicle the history and significance of design in our evolving world. These objects range from unrealized works of architecture to handwoven textiles from Africa to graphic designed posters that reflect the culture and pulse of humanity of their time. The museum is housed in the former mansion of Andrew Carnegie. Upon its completion in 1901, the sixty-four room mansion was the first private residence in the United States to have a structural steel frame that allowed for more expansive spaces and a feeling of lightness. The Carnegie Mansion was also the first private residence to have a residential elevator, central heating, and a precursor to central AC.

In Rwanda, transporting critical medicine and blood can be difficult if the patient is in a remote location. Heavy downpours can wash out the roads, and local hospitals are often too small to stock everything their doctors might need. Now, the Rwandan government is side-stepping the problem with a drone delivery program. In the western half of the country, 21 transfusion clinics can request batches of blood via text. The order will be picked up by Zipline, a California-based robotics firm, at its "nest" base in Muhanga.

For now, Zipline will make between 50 and 150 deliveries per day to 21 clinics in the western half of the country. UPS, the US delivery and logistics giant, helped ship all of Zipline's equipment to Rwanda. The UPS Foundation, the company's charitable branch, earlier this year invested 1.1 million in a project to investigate how such drone delivery could be expanded to other medicines, and other countries. And while for now the Rwanda service will just deliver blood, there are plans to expand into other medical areas, such as vaccines. Gavi, a public-private partnership which promotes vaccination, is partnering with UPS and Zipline on the research.

Rwanda has launched a drone delivery network to transport vital blood supplies to far-flung areas of the country. The project will see unmanned aerial vehicles or drones used to deliver small packages by parachute, bypassing traffic or washed-out roads in a country dubbed the Land of a Thousand Hills. It was introduced on Friday in Rwanda's Muhanga district, but is expected to expand to the rest of the country by early 2017. On demand, the drones are expected to make around 150 deliveries of blood to 21 facilities each day, according to Zipline, the company behind the project. Health professionals can order the emergency packages by text message and deliveries will be made in approximately 30 minutes, officials said.