In what is likely a warning to nuclear-armed North Korea, the U.S. military on Wednesday showed off to media its Global Hawk surveillance drone, which is temporarily deployed to its Yokota Air Base in western Tokyo. The massive drone, with a wingspan of about 40 meters and a length of about 15 meters, can fly for long durations at altitudes higher than manned aircraft. The main focus of the deployment is believed to be to collect surveillance data on the North's nuclear- and missile-related facilities as well Chinese military activity in the Western Pacific. The aircraft is one of five Global Hawks sent to Yokota from their home base in Guam to avoid the harsh summer typhoon season that annually hits the Pacific island. The drones are scheduled to operate out of Yokota until the end of October.

SoftBank Group has quietly amassed a $4 billion stake in Nvidia, making it the fourth-largest shareholder in the graphics chip-maker, according to people familiar with the situation. SoftBank, which just closed its Vision Fund, disclosed it owned an unspecified amount of Nvidia stock when it announced $93 billion of commitments to the technology investment fund Saturday. A holding of 4.9 percent, just under the amount that would require a regulatory disclosure in the U.S., would be worth about $4 billion. A stake in Nvidia fits with SoftBank founder Masayoshi Son's plans to become the biggest investor in technology over the next decade, with bets on emerging trends such as artificial intelligence. Under its founder, Jen-Hsun Huang, Nvidia has become one of the leaders of the charge by chip-makers to provide the underpinnings of machine intelligence in everything from data centers to automobiles.

Teen scientists use machine learning and neural networks to detect and diagnose diseases, track space debris, design drones and justify conclusions at Intel ISEF 2017. While sentient computer beings like HAL from the classic 2001: A Space Odyssey or Samantha from the 2013 film Her may still be on the distant horizon, some forms of artificial intelligence (AI) are already improving lives. At the 2017 Intel International Science and Engineering Fair (ISEF) – where nearly 1,800 high school students gathered to present original research and compete for more than $4 million in prizes – the next generation of scientists used machine learning and artificial neural networks to find solutions to some of today's most vexing problems. "AI is critical to our future," said Christopher Kang, a budding computer scientist from Richland, Washington, who won an ISEF award in the robotics and intelligent machines category. "Humans have a limit as to how much data we can analyze," he said.

Brightcrowd -- helps you find meaningful professional connections Capsule.ai Abi -- your virtual health assistant Ada -- can help if you're feeling unwell Airi -- personal health coach Alz.ai -- helps you care for loved ones with Alzheimer's Amélie -- chatbot for mental health Bitesnap -- food recognition from meal photos to help count calories doc.ai -- makes lab results easy to understand Gyan -- helps you go from symptoms to likely conditions Joy -- helps you track and improve your mental health Kiwi -- helps you to reduce and quit smoking Tess by X2AI-- therapist in your pocket Sleep.ai Amazon Echo / Alexa -- everyday personal assistant for in-home Apple Siri -- everyday personal assistant on iPhone and Mac Cortana-- everyday personal assistant on PC and Windows devices Facebook M -- competitors to Siri, Now and Cortana Focus -- helps you focus, get tasks done and prioritise your day Gatebox -- a holographic anime assistant in an espresso machine Google Assistant -- everyday personal assistant Hound -- everyday personal assistant Ling -- similar to Amazon Echo Mycroft -- is the world's first open source voice assistant Remi-- like Siri with an interface Spoken -- virtual assistant with an interface Viv -- like Siri but 10x better Clara -- meeting scheduling assistant Julie Desk -- meeting scheduling assistant (aimed at C-Suite) Kono -- meeting scheduling assistant Mimetic -- meeting scheduling assistant My Ally -- handles meeting scheduling and manages calendar SkipFlag -- automatically discover and organise your work Vesper -- virtual assistant aimed at C-Suite x.ai-- meeting scheduling assistant Zoom.ai -- personal assistant to help you at work Jottr -- content and news app that learns what you like and don't like News360 -- learns what you enjoy and finds stories you'll like Entrupy -- helps detect if high-end designer products are authentic Fify -- helps you shop for clothing GoFind -- helps you find clothing online by taking a photo Mode.ai -- helps you find clothing online Abe -- fast answers about your finances Andy -- a personal Tax Accountant Ara -- helps you budget Bond -- helps you achieve your financial goals Mylo -- rounds up your everyday purchases and invest the spare change Olivia -- helps you manage your finances Responsive-- institutional-grade active portfolio management Roger -- helps you pay bills easily Wallet -- AI for your daily finance decisions Xoe.ai -- AI lending chatbot Firedrop -- websites designed automatically, just add content and publish Hashley -- ironic hashtag and comment generator for your photos Millions.ai Aerial -- home activity, movement and identity sensor Bridge.ai Eli -- helps you learn a new language from conversations through your day Kick.ai

AI technology can bring down the drug discovery cost by analyzing huge data points in a fraction of the time as compared to humans.By Ashu Kajekar, CEO, 7EDGE Internet Imagine a doctor who can predict a patient's illnesses in advance and prescribe preventive medication in the blink of an eye. Or a computer in a research facility, that ingests and analyzes complex drug chemistries using deep learning algorithms to discover new medications. For that matter, an integrated neural network in an eye hospital that scrapes patient data for signs of eye diseases. Or even better, imagine a chat bot app in your smartphone asking you if you still have the stomach ache from yesterday and if you would like to consult a doctor on a particular day. While all may seem far-fetched, this vision of healthcare is not too far off.

When AlphaGo topped the grandmaster Lee Sedol last year in Seoul, South Korea, becoming the first machine to beat a professional at the ancient game of Go, it grabbed the attention of the entire country--and beyond. This surprisingly powerful machine, built by researchers at Google's DeepMind artificial intelligence lab, also captured so many imaginations in China, the birthplace of Go, where Google says more than 60 million people watched that match from across the internet. Now AlphaGo is playing a Chinese grandmaster here in Wuzhen, China, an ancient city near the heart of the country's tech industry. The match between AlphaGo and Ke Jie, currently ranked number one in the world, seems like the perfect PR opportunity for a company that hopes to expand its presence in China in the years to come. But it hasn't quite worked out that way.

There is one huge source of data for using machine learning in cyber security and that is SecRepo. This website contains all sorts of data that you can use. I have not found a better data source for cyber security than this website. Lets go through a few good papers that illustrate the usage of machine learning in cyber security. The below papers are taken from covert.io.

Google's computer algorithm AlphaGo narrowly beat the world's top-ranked player in the ancient Chinese board game of Go on Tuesday, earning praise for apparently surpassing human abilities in one of the last games that machines have yet to dominate and reaffirming the arrival of what its developers tout as a groundbreaking new form of artificial intelligence. AlphaGo took the first of three scheduled games against brash Chinese 19-year-old Ke Jie, the world's No. 1 player, who after the match anointed the program as the new "Go god." For the first time, AlphaGo was quite humanlike. In the past it had some weaknesses. But now I feel its understanding of Go and the judgment of the game is beyond our ability.

Even though research and advisory firm Gartner says 30% of web browsing will be screenless by 2020, Purna Virji, senior Bing Ads PPC training manager, told marketers at the Inbounder on Monday (May 22) not to panic. Pointing to a Cortana video in which women plan a 30th birthday party in Las Vegas without any landing pages and instead rely on digital assistants to do the heavy lifting, Virji noted this is where consumers are headed, but she also reassured the Inbounder audience while there will be a shift away from screens, voice won't kill screens – just like mobile didn't kill desktop. According to Virji, we are training artificial intelligence (AI) to be human-like so that it looks at something, understands it, recognizes it and responds back – like Microsoft's how-old.net, or the #HowOldRobot, which is learning to understand faces and tell users how old they look, and Xiaoice in China, a social assistant on networks like Weibo and Touchpal – and who Virji said is designed to be users' friend. Like, say, if you tell Xiaoice you broke up with your boyfriend, she'll put you on a 30-day breakup plan, Virji said. As a result, Xiaoice has 40 million active monthly users – and 25% have told her they love her.

Last year, a Google computer program known as DeepMind's AlphaGo beat one of the world's top players in the game of Go, a two-player board game that originated in China more than 2,000 years earlier. The event made headlines the world over, including in The New York Times, as a sign of the increasing strength of artificial intelligence versus human brainpower. On Tuesday, AlphaGo was at it again. This time, the Google artificial intelligence program took on the top-ranked Chinese Go player, Ke Jie, in Wuzhen, China, as part of a three-game match. AlphaGo was victorious in the first game, writes Paul Mozur, a New York Times technology reporter, causing Mr. Ke to call the program "like a god of Go."