Wary of allowing the country's industry fall behind, the Japanese government is set to fund the development of semiconductors for artificial intelligence and other new technologies. The country's Ministry of Economy, Trade and Industry sees it as imperative to nurture new areas of manufacturing to help shore up the country's economic growth. The colossal sums involved in developing chips, even in their trial phase have meant the area has largely been dominated by Japan's biggest companies. Now the ministry plans to provide financial help to startups and researchers in the field by purchasing the necessary software and equipment. The hope is to lay the ground work for the development of advanced technology and foster a strong pool of talent that can compete on the global stage.

We must think now about the consequences that AI will have very shortly in our lives – changing work, society, economics and more. There's some encouragement that at last governments around the world are waking up to the size of some of the societal questions that AI innovation will ask of us. There is nothing to say that our economic system requires a constant amount of human labour; we should treat the reduction in need for labour as a huge positive, rather than seeking to generate jobs simply to keep people occupied. Shorter working weeks would give more people a stake in employment, and also give them more time to do other things with their lives.

Discussions around artificial intelligence (AI) provoke both excitement and fear in strong measure. Just last week, Elon Musk predicted that AI will be the most likely cause of World War III (although perhaps he just wasn't following President Donald Trump closely enough). As happens so often with new advances, policymaking lags significantly behind. We must think now about the consequences that AI will have very shortly in our lives – changing work, society, economics and more. There's some encouragement that at last governments around the world are waking up to the size of some of the societal questions that AI innovation will ask of us.

Many readers are unfamiliar with the history of Sputnik The effect of Soviet Union's achievement in launching the first man made satellite (i.e. Sputnik created the urgency to upgrade America's science and technology infrastructure: This was viewed by a shocked audience of over 200 million people. A vast majority of that audience was from countries were the game of Go is popularly played (i.e. To have a Western developed automation arrive and vanquish a legendary player like Lee Sedol certainly shocked the population to its core. Chinese authorities were concerned enough about the social ramifications that they hastily imposed a country-wide ban on the live-streaming of the event. This kind of shock of one's core view of the world is certainly to galvanize serious action.

Within 10 years a technological revolution will sweep aside old notions of education and change the world forever, Sir Anthony Sheldon, master of Wellington College believes. Sir Anthony, a historian and political commentator who has written biographies of ex-prime ministers David Cameron, Tony Blair, John Major and Gordon Brown, said: "It certainly will change human life as we know it. They will listen to the voices of the learners, read their faces and study them in the way gifted teachers study their students. "We're looking at screens which are listening to the voice of the student and reading the face of the student.

According to the U.S. Census Bureau, millennials have officially surpassed baby boomers and are now the largest generation in the U.S. Although this is the first time we've officially recognized the demographic shift, companies across the globe have been adjusting to this swing for nearly a decade. With the increasing population of 18-35-year-olds, so too comes the increasing buying power of this critical segment of consumers. For industries focused on customer service, this milestone and the associated implications continue to be verified in the changing demands on customer interactions. An increased reliance on self-service, channels that feature intuitive technology as well as streamlined experiences continue to become increasingly popular.

The Soil Moisture Active Passive (SMAP) mission has delivered valuable sensing of surface soil moisture since 2015. However, it has a short time span and irregular revisit schedule. Utilizing a state-of-the-art time-series deep learning neural network, Long Short-Term Memory (LSTM), we created a system that predicts SMAP level-3 soil moisture data with atmospheric forcing, model-simulated moisture, and static physiographic attributes as inputs. The system removes most of the bias with model simulations and improves predicted moisture climatology, achieving small test root-mean-squared error (<0.035) and high correlation coefficient >0.87 for over 75\% of Continental United States, including the forested Southeast. As the first application of LSTM in hydrology, we show the proposed network avoids overfitting and is robust for both temporal and spatial extrapolation tests. LSTM generalizes well across regions with distinct climates and physiography. With high fidelity to SMAP, LSTM shows great potential for hindcasting, data assimilation, and weather forecasting.

The news of Rahul Gandhi addressing technology experts in Silicon Valley of the US has set the explosion of Jokes on Rahul Gandhi in the Twitter world and various social media domains. The subject he had chosen to address is "ARTIFICAL INTELLIGENCE" which exactly matches the definition of Comedy as mentioned by Steve Martin "Comedy is the art of making people laugh without making them puke". Apparently, Rahul Gandhi will be accompanied by Chairman of Overseas Congress Department Sam Pitroda, who has reportedly fixed Rahul Gandhi's meeting with technology experts. He will also meet representatives of technological giants and startups working on the new science. The idea behind the visit, was for Gandhi to lead the domestic debate on the impending transition from software to artificial intelligence. Inspite of Nehru/Gandhi family being elected from Amethi since 1980, Amethi cuts a sorry figure when it comes to development and welfare of the people.

A drone is flown during a property inspection following Hurricane Harvey in Houston. The mass destruction brought on by Harvey has been a seminal moment for drone operators, proving that they can effectively map flooding, locate people in need of rescue and verify damage to speed insurance claims. A drone is flown during a property inspection following Hurricane Harvey in Houston. The mass destruction brought on by Harvey has been a seminal moment for drone operators, proving that they can effectively map flooding, locate people in need of rescue and verify damage to speed insurance claims. Tropical Storm Harvey disrupted at least 17 emergency call centers and 320 cellular sites, and it caused outages for more than 148,000 Internet, TV, and phone customers, according to the Federal Communications Commission.

Provided by AFP The US National Security Agency, which operates this ultra-secure data collection center in Utah, is one of the key US spying operations turning to artifical intelligence to help make sense of massive amounts of digital data they collect every day. Swamped by too much raw intel data to sift through, US spy agencies are pinning their hopes on artificial intelligence to crunch billions of digital bits and understand events around the world. Dawn Meyerriecks, the Central Intelligence Agency's deputy director for technology development, said this week the CIA currently has 137 different AI projects, many of them with developers in Silicon Valley. These range from trying to predict significant future events, by finding correlations in data shifts and other evidence, to having computers tag objects or individuals in video that can draw the attention of intelligence analysts. Officials of other key spy agencies at the Intelligence and National Security Summit in Washington this week, including military intelligence, also said they were seeking AI-based solutions for turning terabytes of digital data coming in daily into trustworthy intelligence that can be used for policy and battlefield action.