The introduction of data analytics into medicine has changed the nature of patient treatment. In this, patients are asked to disclose personal information such as genetic markers, lifestyle habits, and clinical history. This data is then used by statistical models to predict personalized treatments. However, due to privacy concerns, patients often desire to withhold sensitive information. This self-censorship can impede proper diagnosis and treatment, which may lead to serious health complications and even death over time. In this paper, we present privacy distillation, a mechanism which allows patients to control the type and amount of information they wish to disclose to the healthcare providers for use in statistical models. Meanwhile, it retains the accuracy of models that have access to all patient data under a sufficient but not full set of privacy-relevant information. We validate privacy distillation using a corpus of patients prescribed to warfarin for a personalized dosage. We use a deep neural network to implement privacy distillation for training and making dose predictions. We find that privacy distillation with sufficient privacy-relevant information i) retains accuracy almost as good as having all patient data (only 3\% worse), and ii) is effective at preventing errors that introduce health-related risks (only 3.9\% worse under- or over-prescriptions).

Four out of 10--that's how many Americans the National Cancer Institute estimates will be diagnosed with cancer at some point. While 33 percent of those patients won't live longer than five years, giving them precious little time to find effective treatments, it takes over a decade to bring new cancer drugs to market. The process involves animal testing, human trials and regulatory review--a gantlet through which less than 7 percent of experimental medicines successfully pass. Is it any wonder, then, that there are less than 2,000 Food and Drug Administration-approved pharmaceuticals on the market? Insilico Medicine, a Baltimore-based biotech research company, hopes to revolutionize drug development by slashing the time necessary for research with the help of artificial intelligence (AI). In a study published in the medical journal Oncotarget, a team led by Insilico Medicine details their approach.

We are moving rapidly towards a world where robots and artificial intelligence (AI) systems are connected to and influenced by social media, the Internet of Things (IoT) and big data. Technological developments are moving fast, and AI has many governments concerned. Given the pace of technological advancement, how do rule-makers set legislation for AI while allowing the safe evolution of technology? Who thinks about and enforces these guidelines, and what work is being done, or should be done, with governments to craft AI policy? Moves by the European Parliament to consider granting some form of legal status to AI have revived questions of liability and responsibility.

To help keep tabs on the safety of driverless cars rolling around U.S. cities, the federal government last year, and again last month, suggested that tech firms and car companies submit safety checklists. None of the companies have done it. Waymo, a self-driving car project spun off from Google, submitted a 43-page safety report to the U.S. Department of Transportation on Thursday, offering the most detailed description yet of how it -- or any other company -- equips and trains vehicles to avoid the range of mundane and outrageous problems that are part of U.S. driving. "We've staged people jumping out of canvas bags or porta-potties on the side of the road, skateboarders lying on their boards, and thrown stacks of paper in front of our sensors," says the report, which describes how company engineers use a 91-acre California Central Valley test facility mocked up like a city, as well as computer simulations covering hundreds of thousands of variations of possible road scenarios. The National Highway Traffic Safety Administration has suggested a set of 28 "behavioral competencies," or basic things an autonomous vehicle should be able to do.

The front-line of the stuggle to take out ISIS' most deadly fighters and recruiters like the infamous'White Widow' Sally Jones isn't waged on the battle fields of Syria or Iraq but from an air-conditioned trailer in the middle of the Nevada desert. Seven thousand miles from the war in Syria, pilots sit in a sun-bleached desert base 45 miles north of the bright lights of Las Vegas guiding the lethal Predator drones that have revolutionized modern combat. From cool, dark booths at Creech Air Force Base in Indian Springs, Nevada, pilots and sensor operators work closely with large teams of intelligence analysts who sift streams of real-time data transmitted by the drones on the other side of the planet. The front-line of the stuggle to take out ISIS' most deadly fighters and recruiters isn't waged on the battle fields of Syria or Iraq but from an air-conditioned trailer (pictured) in the middle of the Nevada desert And it is a pilot at this base who is said to have remotely taken out the British ISIS recruiter Sally Jones. Jones, from Chatham in Kent, fled to Syria with her son in 2013 before becoming a recruiter for the terror group.

Ukrainian military officials have unveiled an adaptable war robot that can switch up its mode of travel, and even the type of weapons it carries. The Phantom ground robot can be fitted with tank-like treads, or move about on six wheels – and, it can carry anti-tank weapons, grenade launchers, or machine guns, according to DefenseOne. The robot was demonstrated on Monday at the Association of the US Army show in Washington, D.C., and could hit the battlefield as soon as next year. Ukrainian military officials have unveiled an adaptable war robot that can switch up its mode of travel, and even the type of weapons it carries. Phantom, also sometimes referred to as Fantom, can drive up to 20 kilometers (12.4 miles) at a time, at a maximum speed of 38 kilometers per hour.

I'll bet you can quote 10 different movies, where people have to fight for the fate of humanity against machines. My all-time favorite is 2001: A Space Odyssey, with HAL's famous quote (maybe because it reminds me of how my mother would talk to me during my adolescent years) "I am, by any practical definition of the words, foolproof and incapable of error."[i] Reality and fiction are not the same, we are very far from having a super-intelligent computer that can take over humanity, but people are still hesitant to adopt AI technology. In this blog, I will explore the reasons, and identify the methodology we at Informatica use to address these concerns. We have the zeroth laws of Asimov: zeroth law, to precede the others: A robot may not harm humanity, or, by inaction, allow humanity to come to harm.

The U.S. Army launched a revolutionary SMET initiative that aims to integrate robots into brigades. While top brass walked the floors of AUSA exploring innovation for future combat in Washington D.C., in Georgia at Fort Benning, robot selection to join the troops is in an intense final week. Many companies had thrown their robots in the ring for selection to serve and the Army narrowed down those invited to the Benning phase that began back on Sept. 11 and is expected to conclude Oct. 14. The final four robots will be chosen and the Army will ask the companies to begin production. The jungle drums at AUSA have it that the selected robots may be integrating and working alongside soldiers in brigade combat teams (BCTs) as soon as early next year.

In science news around the world, a deadly plague epidemic spreads through Madagascar, Japan's economy ministry announces a successful first test of seafloor mining for metallic ore deposits near hydrothermal vents, the World Health Organization releases a new strategy for fighting cholera, and the U.S. Environmental Protection Agency moves to roll back limits on greenhouse gas emissions from power plants. Also, economist Richard Thaler of the University of Chicago in Illinois wins the Nobel economics prize for his study of irrational human economic behavior, scientists discover evidence of rice domestication in South America, and a Carnegie Mellon University roboticist describes how his robotic snakes combed through rubble of the 19 September earthquake in Mexico.

You may think that humans as a species are the most prolific colonizers on the planet but maybe you've never heard of the "Argentine ants of southern Europe". This massive colony is made up of ants from Argentina that were introduced to Europe 80 years ago, and needless to say they've wasted little time in dominating the landscape. While Europe is being invaded by immigrant ants, another much smaller infestation that's taking place is that of mythical unicorns. For those of you not in the know, a unicorn is a startup worth at least $1 billion, and there are 215 in total around the world. There are actually 16 unicorns grazing across Europe right now, and we got zee Germans out of the way after last week's top 8 unicorns by funding.