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Where Is Flight MH370? AI Can Pinpoint Missing Plane's Location, Airline Says

International Business Times

The mystery behind the disappearance of Malaysia Airline Flight MH370 continues with no closure for the families of 239 people who were on board the jet. On Monday, Malaysia Airline's CEO Peter Bellew told The Australian newspaper that advances in science and technology, including artificial intelligence, can help pinpoint the resting place of the missing jet. The Boeing 777-200 went missing March 8, 2014, while on its way from Kuala Lumpur to Beijing. After over three years of search in a remote part of the southern Indian Ocean where the plane was believed to have crashed, no concrete clues as to what happened to the jet have been yielded. The multimillion-dollar hunt for MH370 was suspended this year after search vessels failed to find it.


Al-Shabab fighter in Somalia killed in US drone strike

FOX News

A United States drone strike in Somalia killed one al-Shabab militant Saturday, U.S. military officials announced on Monday. The Department of Defense conducted the strike in southern Somalia in coordination with regional partners, and no civilian casualties were reported, officials said. "Al-Shabab has pledged allegiance to Al Qaeda and is dedicated to providing safe haven for terrorist attacks throughout the world. Al-Shabab has publicly committed to planning and conducting attacks against the U.S. and our allies," U.S. Africa Command said in statement to Fox News. A firefighter tries to extinguish fire after an attack on a restaurant by the militant group al Shabaab.


US Military: Drone Strike Kills Al-Shabab Fighter in Somalia

U.S. News

The Somalia-based al-Shabab earlier this month mocked Trump for the first time in a video that called him a "brainless billionaire." The extremist group also has vowed to step up attacks in Somalia after the president elected in February declared a new offensive against al-Shabab, which continues to carry out deadly attacks in the capital, Mogadishu.


Accenture develops artificial intelligence-powered solution for visually impaired

#artificialintelligence

NEW DELHI: Accenture today said it has developed an artificial intelligence powered solution to help visually impaired people improve the way they experience the world around them and enhance their productivity in the workplace. The solution, called Drishti, was developed as a part of Accenture's focus on Tech4Good, which aims to apply technology to improve the way the world lives and works by solving complex social challenges, a company release said. Accenture, plans to introduce Drishti to more than 100 visually impaired employees in India. The solution is currently being piloted at Accenture in South Africa, and a Spanish language version is being tested with Accenture employees in Argentina. Drishti, which means'vision' in Sanskrit, provides smart phone-based assistance using AI technologies such as image recognition, natural language processing and natural language generation capabilities to describe the environment of a visually impaired person.


Bill Gates says he would choose one of these 3 fields if he were starting out today

#artificialintelligence

Congratulations! You've just accomplished something I never managed to do--earn a college degree. Between your commencement speaker and every aunt and uncle at your graduation party, I am sure you are getting a lot of advice. At the risk of piling on, I thought I would share a few thoughts. New college graduates often ask me for career advice. I was lucky to be in my early 20s when the digital revolution was just getting under way, and Paul Allen and I had the chance to help shape it. If I were starting out today and looking for the same kind of opportunity to make a big impact in the world, I would consider three fields.


GPS Multipath Detection in the Frequency Domain

arXiv.org Machine Learning

Multipath is among the major sources of errors in precise positioning using GPS and continues to be extensively studied. Two Fast Fourier Transform (FFT)-based detectors are presented in this paper as GPS multipath detection techniques. The detectors are formulated as binary hypothesis tests under the assumption that the multipath exists for a sufficient time frame that allows its detection based on the quadrature arm of the coherent Early-minus-Late discriminator (Q EmL) for a scalar tracking loop (STL) or on the quadrature (Q EmL) and/or in-phase arm (I EmL) for a vector tracking loop (VTL), using an observation window of N samples. Performance analysis of the suggested detectors is done on multipath signal data acquired from the multipath environment simulator developed by the German Aerospace Centre (DLR) as well as on multipath data from real GPS signals. Application of the detection tests to correlator outputs of scalar and vector tracking loops shows that they may be used to exclude multipath contaminated satellites from the navigation solution. These detection techniques can be extended to other Global Navigation Satellite Systems (GNSS) such as GLONASS, Galileo and Beidou.


Data Sciences, ISIS and Predictions for 2016

@machinelearnbot

Do you know what is common between San Bernardino's shooting spree and the terrorist attacks in Paris last month? Jillennials, Jihadis who are Millennials. We mine data worldwide, a lot of it, a ton of it, every day and every night, and we do this for a living at PredictifyMe. We have partnership with the United Nations to protect school-goers in Pakistan, Nigeria, Sudan and Lebanon using our proprietary software SecureSim and Soothsayer . When the Paris attacks unfolded, we asked ourselves (and our database), how can we use data sciences to prevent something like this from ever happening again. Can we find out what factors influence an otherwise ordinary citizen to become radicalized?


All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media

arXiv.org Artificial Intelligence

In this paper, we present a set of computational methods to identify the likeliness of a word being borrowed, based on the signals from social media. In terms of Spearman correlation coefficient values, our methods perform more than two times better (nearly 0.62) in predicting the borrowing likeliness compared to the best performing baseline (nearly 0.26) reported in literature. Based on this likeliness estimate we asked annotators to re-annotate the language tags of foreign words in predominantly native contexts. In 88 percent of cases the annotators felt that the foreign language tag should be replaced by native language tag, thus indicating a huge scope for improvement of automatic language identification systems.


Allegis Group Study Outlines Status of HR-Related Artificial Intelligence Initiatives

#artificialintelligence

"We're still in the early stages of understanding how AI will displace old jobs and create new ones. Without question, though, it will have a major impact on how companies compete for talent and get work done," says Andy Hilger, president of Allegis Group. "Innovations in AI will become more and more integral to business success, impacting strategic priorities, technology adoption, and, maybe most important, the overall evolution of the workforce. Our industry, as well as the clients and talent with whom we partner, needs to understand the implications and have a plan to capitalize on what will be a disruptive force." HR Professionals Take Stock of AI When asked to identify areas of talent management that will benefit from AI, top responses from HR professionals surveyed included training talent (26%), screening talent (24%) and workforce planning (22%).


Google to Support AI Startups Through Developers Launchpad Studio

#artificialintelligence

A few weeks after the tech giant admitted that it is already running its own machine learning investment fund, it now announced to the public its hands-on Launchpad Studio program which aims to provide support and resources to hungry AI startups. In the company's Google Developers Blog post on Wednesday, Google claimed that the program's mission is to "enable startups from around the world to build great companies." "In the last 4 years, we've learned a lot while supporting early and late-stage founders. From working with dynamic startups--such as teams applying Artificial Intelligence technology to solving transportation problems in Israel, improving tele-medicine in Brazil, and optimizing online retail in India--we've learned that these startups require specialized services to help them scale," a part of the post read. The Launchpad Studio is another initiative from Google that shows the company's commitment to artificial intelligence and machine learning studies.