Last month, 50 former national security officials who had served at high levels in Republican administrations from Richard Nixon to George W Bush published a letter saying that they would not vote for their party's presidential nominee, Donald Trump. In their words, "a president must be disciplined, control emotions, and act only after reflection and careful deliberation". Simply put, "Trump lacks the temperament to be president". In the terminology of modern leadership theory, Trump is deficient in emotional intelligence - the self-mastery, discipline and empathic capacity that allows leaders to channel their personal passions and attract others. Contrary to the view that feelings interfere with thinking, emotional intelligence - which includes two major components, mastery of the self and outreach to others - suggests that the ability to understand and regulate emotions can make overall thinking more effective.

Alphabet, Google's parent company, is joining hands with fast food chain Chipotle to deliver food using drones, Bloomberg reported. The hybrid aircraft can both fly and hover in place. The experimental delivery by Alphabet's Project Wing will be available only for select employees and students at Virginia Tech. The trials are due to start this month and will last a couple of weeks. Deliveries will be made from a Chipotle delivery truck and the drones will lower the food using a winch while hovering overhead.

A recent study shows how artificial intelligence (machine learning) could help improve the accuracy of lung diseases diagnosis. The presence of artificial intelligence (AI) in the broad and complex field of medicine has continually improved over time. As a matter of fact, AI's potential to enhance the accuracy and efficiency when it comes to disease diagnostics is simply undeniable. Following the influences of artificial intelligence in the various subspecialties of medicine, a team of researchers developed an AI-based algorithm process that can learn and perform predictive data analysis. According to Tech 2, Belgium's University of Leuven professor and senior study author Wim Janssens explained that the AI algorithm process can provide experts more accurate lung diseases diagnosis by simulating physicians' complex reasoning in a "more standardized and objective way." Based on the study, researchers successively probed how the concept of machine learning could assist them in analyzing the complete lung function tests.

On a summer day in 1968, professor Julian Stanley met a brilliant but bored 12-year-old named Joseph Bates. The Baltimore student was so far ahead of his classmates in mathematics that his parents had arranged for him to take a computer-science course at Johns Hopkins University, where Stanley taught. Having leapfrogged ahead of the adults in the class, the child kept himself busy by teaching the FORTRAN programming language to graduate students. Unsure of what to do with Bates, his computer instructor introduced him to Stanley, a researcher well known for his work in psychometrics -- the study of cognitive performance. To discover more about the young prodigy's talent, Stanley gave Bates a battery of tests that included the SAT college-admissions exam, normally taken by university-bound 16- to 18-year-olds in the United States. Bates's score was well above the threshold for admission to Johns Hopkins, and prompted Stanley to search for a local high school that would let the child take advanced mathematics and science classes.

Could a robot designed as a sexual companion ever feel something like love for me? And could I, as a human with emotional intelligence, ever feel love for it? These questions challenge our definition of love, but they also challenge our understanding of both human emotion and artificial intelligence. Will intimate relationships between humans and robots ever get beyond just sex? This is a topic up for debate at the 12th Human Choice and Computers Conference in Manchester, UK, where academics and researchers are gathering this week to discuss humanity's relationship--sexual, romantic, or otherwise--with our AI counterparts.

Project Wing, part of Alphabet's X experimental laboratory, is testing the delivery of Chipolte burritos by drone on the Virginia Tech campus. SAN FRANCISCO -- No need to pinch yourself. This is not a dream. Google parent Alphabet really is delivering Chipotle burritos by drone. This month, a small group of hungry students and employees will get their burrito orders lowered on a winch from a hovering drone on the Virginia Tech campus, making the drone-delivered burrito of geeky fantasies a reality -- at least for a chosen few.

While the convenience of getting groceries delivered to doorsteps is enticing, it tends to be a costly luxury. The vast majority of Americans are still strolling down store aisles themselves to check items off their shopping lists. And it's this demographic that startup Basket is targeting. The company is highlighting price transparency to helping people discover the best priced items at local stores. It does so by leveraging the power of the crowd. Basket has built up a database of grocery store items and their prices by tasking shoppers with capturing that information.

The drones, which are all approved under the FAA's new commercial guidelines, can fly autonomously but will have a human backup ready to take the controls if something goes awry. When a drone reaches the hungry customer on the other end of the delivery, it will hover in place while lowering the burrito payload to the ground using a winch. The project's engineers will be testing everything from the drone's navigation systems to customer satisfaction. After all, what good is a drone if it can only bring you a cold, mushy burrito? While the concept seems simple, the data gathered from the project will actually help the FAA design a new system of low-altitude air traffic control that will be necessary once drone deliveries start catching on in earnest.

IBM Watson Artificial Intelligence XPRIZE -Using AI in new ways to solve the World's biggest problems #Gsummit At the Singularity University Global Summit 2016, Nextbigfuture interviewed Amir Banifatemi who is managing the IBM Watson AI XPRIZE. Amir Banifatemi is a founder and managing partner at K5 Ventures. He focuses on working with startups and growth-oriented companies on products and initiatives that could trigger significant breakthrough with strong economic and societal impact. He has a special emphasis on machine learning and predictive systems, IoT, knowledge sharing and crowdsourcing, Education, and digital health. The IBM Watson AI XPRIZE is a 5 million AI and cognitive computing competition challenging teams globally to develop and demonstrate how humans can collaborate with powerful AI technologies to tackle the world's grand challenges.

DEDHAM, MA--(Marketwired - Sep 7, 2016) - Rage Frameworks, a provider of knowledge-based automation technology and services, today announced that a leading multinational financial services firm has selected its Artificial Intelligence platform (RAGE AI) to drive improved results for its investment customers by using artificial intelligence to discover signals captured in a wide variety of data sources with Rage's innovative deep learning capabilities. RAGE AI significantly extends the frontier of deep learning and machine intelligence technology as it incorporates proprietary linguistics-based machine learning innovations to understand market developments in the context of individual companies and interpret those signals as a human would. After demonstrating via historical back-testing that the Rage AI platform repeatedly delivered returns in excess of what the firm's quantitative team was able to produce, Rage's solution was integrated in order to drive significant lift in the returns generated for the firm's clients. In fact, Rage has repeatedly shown that its deep background in computational linguistics and Natural Language Understanding can systematically discover Alpha by forming assessments of a company's financial projections that effectively predict future performance for businesses such as Wal-Mart (attached), where Rage AI predicted an upward trend in stock price months in advance. The RAGE AI platform does this by continuously interpreting unstructured content from over 100,000 sources and translating it into valuable intelligence.