Attack on Saudi Arabia oil field would likely not have been stopped by any country: expert

FOX News

The White House weighs its options as Iran warns that a military response could trigger an'all-out war'; chief White House correspondent John Roberts reports. Saudi Arabia defended itself as well as possible from the recent massive attack on its oil facilities -- an attack that the U.S. has blamed on Iran, a military expert said. "I don't think there is any country that could have defended any better than Saudi Arabia did, and that includes the United States," Peter Roberts, director of military sciences at the Royal United Services Institute, told The New York Times. "I don't think there is any country that could have defended any better than Saudi Arabia did, and that includes the United States." Eighteen drones and seven cruise missiles bombarded the facilities in an asault described as a "Pearl Harbor-type" attack.

Machine learning predicts how big wildfires will get - Futurity


You are free to share this article under the Attribution 4.0 International license. A new technique can predict the final size of wildfires from the moment of ignition, researchers report. Built around a machine learning algorithm, the model can help forecast whether a wildfire will be small, medium, or large by the time it has run its course--knowledge useful to those in charge of allocating scarce firefighting resources. "A useful analogy is to consider what makes something go viral in social media," says lead author Shane Coffield, a doctoral student in earth system science at the University of California, Irvine. "We can think about what properties of a specific tweet or post might make it blow up and become really popular--and how you might predict that at the moment it's posted or right before it's posted."

How to Leverage AI in Marketing? by Sales POP Guest Post - SalesPOP!


Artificial intelligence (AI) has done wonders for the industries it's been integrated into. For several industries, AI has been used to automate time-consuming tasks and help employees focus on other important aspects of the job -- of course, automation is just one of AI's benefits. The technology can also be used for data mining, real-time customer assistance, personalizing offers, and others. These are just some of the many reasons why business owners are now signing up to AI courses and are starting their journey towards understanding the technology better. With a growing pool of customers, time is essential for marketers and business owners, using AI cuts the time they spend doing their tasks drastically -- leaving them more focused on other more important aspects of their marketing campaigns.

Najm deploys SAS artificial intelligence and analytics solutions to combat fraud in insurance


SAS, the market leader in Analytics & Anti-fraud Technologies, and Najm for Insurance Services have announced a technology collaboration that will aim to bring SAS expertise to counter and reduce instances of fraud in Automobile and Motor insurance claims. Officials from both companies signed the agreement at a SAS event in Fairmont Riyadh on Wednesday. With the goal of streamlining claims through application assessment and taking a proactive approach to detect & deter fraud in the business, Najm is looking to improve efficiency in fraud identification, fast claims resettlement as well as the development of better-quality alerts, by utilizing the latest analytics & fraud detection technologies. Utilizing Artificial Intelligence and Machine-Learning technologies, SAS will automate aspects of Najm's claimant profiling, and will aim to complement existing manual processes to detect fraud claims through behavioral responses and automatically assess risk patterns. During the event, Najm CEO Dr. Mohammad Al-Suliman spoke about the partnership with SAS and the company's future plans.

Opinion The four inexorable trends shaping the future of work


When I left a "regular" job some time ago to become an entrepreneur and adviser to multiple companies, a senior leader in the company observed encouragingly: "Instead of one company-many employees, work is moving to one employee-many companies. You are going to be a part of this future of work." As if to prove his point, the very next day I settled down at my "hot desk" in the spanking new WeWork that had opened in my city and contributed my bit to its ever-expanding valuation. Coworking spaces are mushrooming all around us in every city of the world. JLL estimates that coworking space in India rose three-fold to 3.4 million sq.

You should be skeptical when it comes to hyped-up AI. Here's why.


To find out what's behind the phenomenon of super-agers, researchers conducted a study examining the brains and cognitive performances of two groups: 41 young adults between the ages of 18 and 35 and 40 older adults between the ages of 60 and 80. First, the researchers administered a series of cognitive tests, like the California Verbal Learning Test (CVLT) and the Trail Making Test (TMT). Seventeen members of the older group scored at or above the mean scores of the younger group. That is, these 17 could be considered super-agers, performing at the same level as the younger study participants. Aside from these individuals, members of the older group tended to perform less well on the cognitive tests. The default mode network is, as its name might suggest, a series of brain regions that are active by default -- when we're not engaged in a task, they tend to show higher levels of activity.

AI in healthcare


Razvan Ionasec (EMBA 2018) has been a computer buff since his childhood in Romania. His team at Siemens has now developed an artificial intelligence-based assistant to help radiologists evaluate medical scans. Razvan Ionasec had been working for several years on machine learning and computer vision technologies when he received a personal letter from a father seeking help for a son diagnosed with a complex congenital cardiovascular disease. "He had read about our research in the field of medical image analysis," says Razvan, a native of Romania. "It was too early in the development cycle at that time, but it inspired me to pursue my PhD so I could work on problems that have real impact on patients."

How the Right Data Engineer Could Help an Enterprise AI Project Succeed


The hype around AI is justified by its transformative potential for organizations of all sizes right from SMEs to large enterprises to governments. While its ability to automate and hence reduce costs is well understood, AI's real potential comes from being able to increase the top line through enabling innovation and improving employee efficiency. According to Gartner, 70 percent of organizations will integrate AI to assist employees' productivity by 2021. And more and more companies are using AI to shorten the innovation cycle, for instance in drug discovery. And yet, according to Gartner, 85 percent of AI projects won't deliver for CIOs.