Fox News Flash top headlines for June 13 are here. Check out what's clicking on Foxnews.com Amazon's Alexa devices are recording children without their consent, in violation of laws in at least eight states, according to a lawsuit filed in Seattle. "Alexa routinely records and voiceprints millions of children without their consent or the consent of their parents. This practice violates California law, which prohibits the recording of oral communications without the consent of all parties to the communication," a complaint filed Tuesday on behalf of an 8-year-old boy in California Superior Court states. "This prohibition recognizes the unique privacy interest implicated by the recording of someone's voice.

Trains delayed by'leaves on the line' might soon be a thing of the past as an AI system is trialled to predict build ups on the line and warn of encroaching plants. The artificial intelligence studies footage of plants near the line taken from trains and attempts to spot when leaves change colour, indicating that they might fall. It can also warn of fallen trees and when vegetation growth might soon obstruct the path of trains and lead to delays. The project is one of 24 high-tech schemes that have today been funded a total of £7.8 million ($9.9 million) by the UK government to improve the nation's railways. Trains delayed by'leaves on the line' might soon be a thing of the past as an AI system is trialled to predict build ups on the line and warn of encroaching plants (stock image) Slippery rails -- commonly referred to as'leaves on the line' -- result when build ups on the track led to trains not being able to grip the rails properly.

In his new novel, Machines Like Me, the novelist Ian McEwan tells the story, set in an alternate history in England in 1982, of a man who buys a humanoid robot. This triumph of artificial intelligence is "a creation myth made real," he writes, but also "a monstrous act of self-love." Part companion and part servant, the robot named Adam is "the ultimate plaything, the dream of ages, the triumph of humanism -- or its angel of death." One of the first things Adam says when he is switched on is "I don't feel right," and, typically for cautionary tales about robots, it only gets worse from there. Like much of the frontier thinking on the morality of artificial intelligence, McEwan's unsettling vision comes from fiction, not science.

The government has announced an investment of up to £18.5m to support efforts to enhance diversity in artificial intelligence (AI) and data science roles. Part of a wider plan to upskill the UK workforce as part of the AI Sector Deal to position the country as a leader in use of the technology, £13.5m of the total funding will go towards up to 2,500 AI and data science conversion courses for professionals who have degrees in other disciplines, as well as 1,000 scholarships. The programmes will aim to support applications from professionals returning from a career break and looking to retrain, as well as under-represented groups in the digital workforce, including women and those from minority ethnic or lower socio-economic backgrounds. Around £5m will be invested into the Adult Learning Technology Innovation Fund, to be launched in partnership with innovation foundation Nesta, which will seek to encourage companies to use AI and automation to improve online learning platforms aimed at helping adults retrain. "The UK has a long-standing reputation for innovation, world-leading academic institutions and a business-friendly environment. Everyone, regardless of their background, should have the opportunity to build a successful career in our world-leading tech sector," said digital secretary Jeremy Wright.

If you consider Google is the leader globally in artificial intelligence, DeepMind is their crown jewel. When they moved the DeepMind Health unit, the healthcare subsidiary, into their main company -- that broke a pledge that'data will not be connected to Google accounts' -- you knew Google was cutting corners. Bigger than the Department of Justice going after Google for antitrust is the harm DeepMind could do to the future of artificial intelligence. They are arguably the leader in deep learning. The choices they make will decide many things about the fate of humanity in an AI-centric world.

IBM (NYSE: IBM) today announced the first recipients and list of global women leaders and pioneers in AI for business. The list recognizes and celebrates women across a variety of industries and geographies for pioneering the use of AI to advance their companies in areas such as innovation, growth, and transformation. IBM will celebrate the honorees during an inaugural recognition event on June 12, 2019 at the IBM Watson Experience Center in New York, New York where the women will share their experiences leading AI initiatives in their organizations. Students from IBM's P-Tech program will attend to hear from these leaders who have applied AI technology in diverse and meaningful ways to help drive business innovation. "Artificial Intelligence is poised to drive dramatic advances in every industry," said Michelle Peluso, SVP, Digital Sales & CMO, IBM, who also serves as Leader of IBM's Women's Initiative.

The Diet enacted a revised aviation law Thursday that increases punishments for pilots found to have flown under the influence of alcohol or drugs following a series of drinking-related incidents involving Japanese airlines. Under the legislation, which will take effect in stages within one year of its official announcement, the penalty for drinking and flying has been raised from a maximum one-year jail term or ¥300,000 fine to a sentence of up to three years or a ¥500,000 fine. Japanese airlines have already tightened drinking rules, introducing mandatory Breathalyzer tests and relieving pilots of their duties if even a very low level of alcohol is detected. Those flying private planes, however, are not subject to the same checks. The legislation also seeks to improve aviation safety ahead of the intended mid-2020 delivery of the Mitsubishi Regional Jet, Japan's first homegrown commercial passenger jet.

British companies that fail to invest in artificial intelligence soon are at risk of losing 20pc of their cash flow, McKinsey has warned. New figures claim that AI could boost the UK economy by 22pc in the next decade by making companies more productive, and fast-moving businesses could stand to grow in value by 120pc if they invest in AI tools. A new report produced by the consultancy's business and economics research arm McKinsey Global Institute has claimed the UK is "potentially more AI-ready compared with the global average", but could miss out on the opportunity if investment does not occur. "The United Kingdom has impressive pockets of innovation but is failing to scale to business more broadly," the report stated. It cited DeepMind, which was bought by Google for £306m in 2014, and Magic Pony, which was taken over by Twitter in a £102m deal in 2016, as examples of these pockets.

A new investigative report by Reuters revealed the Massachusetts Institute of Technology and at least one other U.S. university have research partnerships with a Chinese firm who has ties with the expansive security system created in China's Xinjiang region on Wednesday. Beijing has been leading an intense campaign against the minority Uighurs in the autonomous region, with the United Nations estimating up to one million currently being held in detention facilities. Reporters uncovered two documents which revealed iFlytek, an artificial intelligence company, was the only supplier of 25 "voiceprint" collection systems for police in Kashgar, a major city in Xinjiang, during 2016. Maya Wang, a senior researcher at Human Rights Watch, said she's heard of people in Xinjiang last May being asked to have their voice recorded using the software, but iFlytek declined to comment on whether that was its technology. A May 2017 blog post also revealed another iFlytek subsidiary signed a "strategic cooperation framework agreement" with Xinjiang's prison administration bureau.

In recent years, deep learning has proven to be a viable methodology for surrogate modeling and uncertainty quantification for a vast number of physical systems. However, in their traditional form, such models require a large amount of training data. This is of particular importance for various engineering and scientific applications where data may be extremely expensive to obtain. To overcome this shortcoming, physics-constrained deep learning provides a promising methodology as it only utilizes the governing equations. In this work, we propose a novel auto-regressive dense encoder-decoder convolutional neural network to solve and model transient systems with non-linear dynamics at a computational cost that is potentially magnitudes lower than standard numerical solvers. This model includes a Bayesian framework that allows for uncertainty quantification of the predicted quantities of interest at each time-step. We rigorously test this model on several non-linear transient partial differential equation systems including the turbulence of the Kuramoto-Sivashinsky equation, multi-shock formation and interaction with 1D Burgers' equation and 2D wave dynamics with coupled Burgers' equations. For each system, the predictive results and uncertainty are presented and discussed together with comparisons to the results obtained from traditional numerical analysis methods.