Russia on Wednesday identified the village from which a swarm of drones attacked its main military base in Syria and released photographs of the crudely constructed aircraft that were used. The revelations only somewhat cleared up the mystery surrounding what amounts to the biggest concerted attack on Russia's main military base of Hmeimim since the Russian military intervention in Syria began in 2015. Russia said it held Turkey accountable for the drone attack, calling it a breach of their cease-fire agreement in northern Syria, while Turkey accused Russia and Iran of jeopardizing the entire peace process by launching an offensive to take control of an opposition-held air base in the area. The Russian Defense Ministry named the opposition-controlled village of Muwazarra in southern Idlib province as the location from which a swarm of at least a dozen drones armed with crude explosives was launched Saturday, attacking the Hmeimim air base and the nearby naval base of Tartus in northwestern Syria. Under the cease-fire deal, Turkey is supposed to restrain opposition forces in Idlib province.

While companies like Amazon pour considerable resources into finding ways of using drones to deliver such things as shoes and dog treats, Zipline has been saving lives in Rwanda since October 2016 with drones that deliver blood. Zipline's autonomous fixed-wing drones now form an integral part of Rwanda's medical-supply infrastructure, transporting blood products from a central distribution center to hospitals across the country. And in 2018, Zipline's East African operations will expand to include Tanzania, a much larger country. Delivering critical medical supplies in this region typically involves someone spending hours (or even days) driving a cooler full of life-saving medicine or blood along windy dirt roads. Such deliveries can become dangerous or even impossible to make if roads and bridges get washed out.

Deep learning (DL), a new-generation artificial neural network research, has made profound strides in recent years. This review paper is intended to provide water resources scientists with a simple technical overview, trans-disciplinary progress update, and potentially inspirations about DL. Effective architectures, more accessible data, advances in regularization, and new computing power enabled the success of DL. A trans-disciplinary review reveals that DL is rapidly transforming myriad scientific disciplines including high-energy physics, astronomy, chemistry, genomics and remote sensing, where systematic DL toolkits, innovative customizations, and sub-disciplines have emerged. However, with a few exceptions, its adoption in hydrology has so far been gradual. The literature suggests that novel regularization techniques can effectively prevent high-capacity deep networks from overfitting. As a result, in most scientific disciplines, DL models demonstrated superior predictive and generalization performance to conventional methods. Meanwhile, less noticed is that DL may also serve as a scientific exploratory tool. A new area termed "AI neuroscience", has been born. This budding sub-discipline is accumulating a significant body of work, e.g., distilling knowledge obtained in DL networks to interpretable models, attributing decisions to inputs via back-propagation of relevance, or visualization of activations. These methods are designed to interpret the decision process of deep networks and derive insights. While scientists so far have mostly been using customized, ad-hoc methods for interpretation, vast opportunities await for DL to propel advancement in water science.

The number jobs in artificial intelligence (AI) in the UK has risen dramatically in the last three years, according to Indeed. Since 2014, the number of available AI roles in Britain has increased by 485% - representing a significant spike in demand for employees with the appropriate skills for the job. Yet Indeed's data also reveals there are over two times as many AI jobs available than there are suitable applicants, with a ratio of 2.3 roles available per candidate searching in the last quarter. Interest in AI roles has risen more steadily by 178% in the past three and a half years, not quite high enough to meet the fivefold surge in postings. The popularity of software in innovations including smart home devices and customer service chat bots demonstrate how the industry is developing at pace.

After years of hearings, investigations, and states doing whatever they like in the absence of federal decision-making, self-driving car decrees flowed out of Washington, DC, this week like your data from Equifax. The Department of Transportation updated its policy on automated vehicles. The National Transportation Safety Board released the results of a yearlong investigation into a deadly Tesla Autopilot crash. The Senate took on self-driving trucks, with a hearing that pitted the industry against the truckers who ply the nation's highways. Transportation change is happening, and this country's policymakers finally seem ready to tackle it.

ISLAMABAD (AP) -- Two Pakistani officials say a suspected U.S. drone strike has targeted a compound in a northwestern tribal region along the Afghan border, killing three suspected militants. The officials said two suspects were also wounded in Friday's strike on a border village in the Kurram tribal region. If confirmed, it would be the first U.S. drone strike on Pakistan since President Donald Trump announced his new strategy for Afghanistan. The officials spoke on condition of anonymity as they were not authorized to brief media. The officials said apparently Afghan Taliban, including member Abdul Salam, were targeted but it was unclear whether they were present at the time. Salam is a relative of Taliban leader Mullah Abdul Salam Zaeef, who served as ambassador to Pakistan during the Taliban's rule.

The US National Transportation Safety Board (NTSB) has found that Tesla's Autopilot system was partly to blame for a fatal accident in which a Model S collided with a lorry. Federal investigators say Tesla "lacked understanding" of the semi-autonomous Autopilot's limitations. The NTSB recommended that car manufacturers and regulators take steps to ensure such systems are not misused. It said the collision should never have happened. The crash, in May 2016, led to the death of Tesla driver Joshua Brown, 40.

A drone is flown during a property inspection following Hurricane Harvey in Houston. The mass destruction brought on by Harvey has been a seminal moment for drone operators, proving that they can effectively map flooding, locate people in need of rescue and verify damage to speed insurance claims. A drone is flown during a property inspection following Hurricane Harvey in Houston. The mass destruction brought on by Harvey has been a seminal moment for drone operators, proving that they can effectively map flooding, locate people in need of rescue and verify damage to speed insurance claims. Tropical Storm Harvey disrupted at least 17 emergency call centers and 320 cellular sites, and it caused outages for more than 148,000 Internet, TV, and phone customers, according to the Federal Communications Commission.

Science fiction has an uncanny ability to predict the future of technology, from Star Trek's Padd, essentially an iPad, to the Jetsons' robot vacuum, basically a Roomba. Now that the voice assistant is here, that's another checklist off the sci-fi predictor, but while our Alexas, Siris, Cortanas and Google Assistants are pretty basic right now, if sci-fi continues its great prelude to the future, what will the computers of the future really be like? According to Amazon's head of devices, Dave Limp, the next phase in computing is less about the physical thing and more about how and where you access it. He says: "We think of it as ambient computing, which is computer access that's less dedicated personally to you but more ubiquitous. "Our vision is to create that Star Trek computer and work backwards from that.

For drone users, Hurricane Harvey is likely to be the event that propelled unmanned aircraft to become an integral part of government and corporate disaster-recovery efforts. In the first six days after the storm hit, the Federal Aviation Administration issued more than 40 separate authorizations for emergency drone activities above flood-ravaged Houston and surrounding areas. They ranged from inspecting roadways to checking railroad tracks to assessing the condition of water plants, oil refineries and power lines. That total climbed above 70 last Friday and topped 100 by Sunday, including some flights prohibited under routine circumstances, according to people familiar with the details. Industry officials said all of the operations--except for a handful flown by media outlets--were conducted in conjunction with, or on behalf of, local, state or federal agencies.