If you like multi-variant statistics, then you're going to love what Melissa Strong, PhD., is doing at IndiOmics, the biotechnology company she founded to gain a greater understanding on how chemicals interact with -- and possibly harm – people that come into contact with them every day. For starters, there are about 84,000 chemicals registered with the Environmental Protection Agency (EPA), according to Strong. From sunscreens and pesticides to plasticizers and hardeners, the average American contains within their body a unique chemical cocktail brewed from their specific path through this world. Factor in different genetics, medical histories, and environmental factors, and you have the sort of combinatorial explosion that is unworkable in the traditional scientific sense. "It's never only X and Y," Strong says.

Federal technologists have spent years hyping the potential for artificial intelligence to transform the way government serves citizens, but for most agencies, the tech is still more of an aspiration than a reality. While some basic machine-learning and automation programs are underway, many technical and organizational obstacles stand between today's federal tech experts and the AI-powered future they want to achieve. Still, officials across the government are laying the groundwork for much broader adoption of AI in the years ahead. Download this free special report to learn about agency projects and how strategies like the American AI Initiative are moving the technology forward.

It will be one of NASA's most ambitious missions and, to prove its prowess, the space agency has released footage of it Mars 2020 rover flexing its proverbial muscles - by performing heavyweight bicep curls. In a time-lapse video taken at the Jet Propulsion Laboratory in California, earlier this month, the rover's 7-foot-long (2.1-meter-long) arm handily maneuvers 88 pounds' (40 kilograms') worth of sensor-laden turret as it moves from a deployed to a stowed configuration. This is no mean feat considering it's fitted with five heavy electrical motors and five joints - known as the shoulder azimuth joint, shoulder elevation joint, elbow joint, wrist joint and turret joint. Buff: The rover's 7-foot-long (2.1-meter-long) arm handily maneuvers 88 pounds' (40 kilograms') worth of sensor-laden turret as it moves from a deployed to a stowed configuration The turret itself includes HD cameras, a scanning instrument, X-ray technology and a coring mechanism for digging into the red planet. On Mars, the arm and turret will work together, allowing the rover to work as a human geologist would: by reaching out to interesting geologic features, abrading, analysing and even collecting them for further study. This will be done via the Mars 2020's Sample Caching System, which will collect samples of Martian rock and soil that will be returned to Earth by a future mission.

The U.S. Navy is testing a radical new style of long-distance drone that can take off and land vertically, making it deployable from almost anywhere. The V-Bat drone, which recently completed a fly-test over the Atlantic Ocean can be equipped with an 8 lbs. In prior test, the V-Bat pushed the boundaries of its ceiling altitude, soaring to a height of 15,000 feet and returning safely. V-Bat's defining feature, vertical landing and take-off, make it unique and in some ways, more capable, than other drones used in military operations, according to MartinUAV'With these milestones, V-BAT has demonstrated all of the key performance parameters we set for it two years ago,' said Phillip Jones, Martin UAV's Chief Operating Officer in a statement. 'The focus for the engineering team will now shift to enhancing and refining these capabilities to even better meet & exceed warfighter requirements.'

Many hospitals are facing trouble with low compliance rates of usage reporting inside the operating room, inaccurate charge capture, meeting FDA requirements regarding digital updates to the patient's file and countless coding errors. These problems all have the potential to cause a financial loss. Hospitals use advanced software solutions to improve processes, streamline workflow and optimize resources. By 2026, the healthcare information industry is forecasted to grow by 8.2%. Yet while these solutions specialize in data management and analyze procurement processes, they are not suited to the specific needs and work conditions in hospital operating rooms, resulting in deficient data collection.

You could be forgiven for thinking that AI will soon replace human physicians based on headlines such as "The AI Doctor Will See You Now," "Your Future Doctor May Not Be Human," and "This AI Just Beat Human Doctors on a Clinical Exam." But experts say the reality is more of a collaboration than an ousting: Patients could soon find their lives partly in the hands of AI services working alongside human clinicians. "In the same way that technologies can close disparities, they can exacerbate disparities." There is no shortage of optimism about AI in the medical community. But many also caution the hype surrounding AI has yet to be realized in real clinical settings. There are also different visions for how AI services could make the biggest impact.

I am Karima, which means the generous. It always reminds me of my home, Syria, a generous country destroyed by war. I was born and raised in a refugee camp populated by 5000 Syrians. It is not easy to be born Syrian in a refugee camp, especially if you are a woman. Hunger for a loaf of bread in the refugee camp is connected to a hunger for bodies.

Technology needed to doctor images and videos is advancing rapidly and getting easier to use, experts have warned. Government agencies and academics are racing to combat so-called deepfakes, amid the spreading threat that they impose on societies. Advances in artificial intelligence could soon make creating convincing fake audio and video relatively easy, which the Pentagon fears will be used to sow discord ahead of next year's US presidential election. Deepfakes combine and superimpose existing images and videos onto source images or videos using a machine learning technique known as generative adversarial network. The video that kicked off the concern last month was a doctored video of Nancy Pelosi, the speaker of the US House of Representatives.

In recent years, air traffic communication data has become easy to access, enabling novel research in many fields. Exploiting this new data source, a wide range of applications have emerged, from weather forecasting to stock market prediction, or the collection of intelligence about military and government movements. Typically these applications require knowledge about the metadata of the aircraft, specifically its operator and the aircraft category. armasuisse Science + Technology, the R&D agency for the Swiss Armed Forces, has been developing Classi-Fly, a novel approach to obtain metadata about aircraft based on their movement patterns. We validate Classi-Fly using several hundred thousand flights collected through open source means, in conjunction with ground truth from publicly available aircraft registries containing more than two million aircraft. We show that we can obtain the correct aircraft category with an accuracy of over 88%. In cases, where no metadata is available, this approach can be used to create the data necessary for applications working with air traffic communication. Finally, we show that it is feasible to automatically detect sensitive aircraft such as police and surveillance aircraft using this method.

-- In this paper, in following of the first part (which ADF tests using ACI evaluation) has conducted, Time Series (TSs) are analyzed using decomposition analysis. In fact, TSs are composed of four components including trend (long term be - haviour or progression of series), cyclic component ( non - periodic fluctuation behaviour which are usually long term), seasonal component (periodic fluctuations due to seasonal variations like temperature, weather condition and etc.) and error term. The first method is additive decomposition and the second is mu ltiplicative method to decompose a TS into its components. After decomposition, the error term is tested using Durbin - Watson and Breusch - Godfrey test to see whether the error follows any predictable pattern, it can be concluded that there is a chance of cy ber - attack to the system. In this paper, to find out that TS errors (or called residual's interchangeably)follows any particular patterns or not and to obtain t he residual values of TSs, we conducted two classical methods of TS decomposition and then we analyzed the residual terms of TSs for both decomposition method to find anomaly in residual distributions.