There are two things companies need to be careful of, whether they are large or small. The first is to avoid any pursuit of unrealistic products that require futuristic technologies. The second is a misinterpretation of the market demand, or the quasi-demand. It means the market actually does not need the products the company thinks are necessary. So, what profound changes may we expect AI to bring to people's life in the short run?

The National Oceanic and Atmospheric Administration is predicting an above-normal 2017 Hurricane Season, with five to nine hurricanes -- two to four of them Category 3 (winds at least 111 mph) or stronger. The weakness or absence of storm-suppressing El Niño climate conditions, combined with above-normal ocean surface temperatures and average or weaker vertical wind shear across the Caribbean and Atlantic Coast are factors pointing to an active hurricane season, said Ben Friedman, acting NOAA administrator. They expect that three named storms will make landfall in the U.S. April's Tropical Storm Arlene was a rare preseason storm, but it was also an indication of an active season ahead, Friedman said Thursday during a news conference at the NOAA Center for Weather and Climate Prediction in College Park, Md. In the 25 years since Category 5 Hurricane Andrew hit South Florida, forecasting accuracy has improved 65%, said Mary Erickson, deputy director at the National Weather Service.

Goldstaub, aged 31, is the co-founder of CognitionX, which aims to bring clarity to the fast-paced world of artificial intelligence (AI). "We're like a Ghostbusters hotline," she says. "When you feel lost and wonder who you're going to call we have researchers who can answer big questions. AI will be the next industrial revolution, it's happening quicker than anything we have ever seen. This month's NHS hack is just the latest reminder of how fast technology is developing and Goldstaub says it illustrates the need for widespread education and "collaboration beyond the tech sector, with government, academia and business talking about moving forwards with new tools". Sitting in an eye-poppingly pink chair at her company's HQ at the Wayra incubator in Piccadilly, where she has a staff of 22 and is "expanding at a rate of knots", Goldstaub explains how AI has the potential to detect cancer earlier than humans can, trade stocks, increase energy efficiency, predict human rights trials and make fairer decisions in courts. Already, 76 per cent of companies use some form of AI and it could add $814 billion to the UK economy by 2035, increasing productivity by up to 40 per cent, according to a report by Accenture. So we'd better get it right. Goldstaub compares AI to a child, learning from what it hears. "If you train AI based on racist, sexist information, you can't be surprised that it becomes racist and sexist." She cites the example of the chatbot Tay, which was trained on Twitter and in less than 24 hours was making offensive remarks. "You'll have AI making decisions about whether you can get loans, about car insurance.

The sheer number of cyber-attacks and threats present in today's world is considerable. As the number of threats we face grows at an exponential rate it has become harder for cyber experts to keep up. According to the Verizon Data Report, more than seventy percent of attacks exploit known vulnerabilities with available patches. Once the vulnerabilities become known to the hackers they take advantage of them within minutes. With the number of threats growing, costing an average of $445 billion worldwide and the industry facing a shortage of 1.5 million experts, it is taking longer to detect an mitigate attacks.

Objectives: Discussions of fairness in criminal justice risk assessments typically lack conceptual precision. Rhetoric too often substitutes for careful analysis. In this paper, we seek to clarify the tradeoffs between different kinds of fairness and between fairness and accuracy. Methods: We draw on the existing literatures in criminology, computer science and statistics to provide an integrated examination of fairness and accuracy in criminal justice risk assessments. We also provide an empirical illustration using data from arraignments. Results: We show that there are at least six kinds of fairness, some of which are incompatible with one another and with accuracy. Conclusions: Except in trivial cases, it is impossible to maximize accuracy and fairness at the same time, and impossible simultaneously to satisfy all kinds of fairness. In practice, a major complication is different base rates across different legally protected groups. There is a need to consider challenging tradeoffs.

A stunning new animation reveals the moment the moon crosses in front of the sun during a partial solar eclipse. The phenomenon was captured on May 25 by NASA's Solar Dynamics Observatory (SDO), during a lunar transit that lasted nearly an hour. During this time, scientists say the moon covered roughly 89 percent of the sun, revealing a'crisp' view of the lunar horizon. The phenomenon was captured on May 25 by NASA's Solar Dynamics Observatory (SDO), during a lunar transit that lasted nearly an hour. The animation reveals the moon's path as it crossed in front of the sun NASA has revealed a plan to send a robot to the sun in 2018 to help understand space weather. This will bring it seven times closer to the sun's surface than any spacecraft before it.

We've met with hundreds of Fortune 500/ Global 2000 companies, startups, and government agencies asking: "How do I get started with artificial intelligence?" While there are many excellent tutorials out there that show how to use TensorFlow or the beautiful math behind neural network training, we couldn't find a broad overview -- a "Chapter 0", if you will -- for product managers, line of business leaders, strategists, policymakers, non-AI developers to read first before moving on to more technical materials. So building on our popular primer on artificial intelligence, today we've launched a microsite to help newcomers -- both non-technical and technical -- begin exploring what's possible with AI. The site is designed as a resource for anyone asking the two questions above, complete with examples and sample code to help get started; no computer science degree required! Ultimately, it's aimed at people who aren't only studying AI in universities or labs and just want to get their hands and heads around it as they explore options for their own companies. Along those lines, I've also published a new presentation about the promise of AI, beyond the hype.

The market research and insight industry will soon undergo a public test of its potency. In two weeks it will predict what it believes will be the outcome of the general election. Already under fire for failing to predict the outcomes of both the UK referendum and the US presidential election, you'd forgive top polling organisations for being nervous. The general election, however, is not the biggest challenge facing the market research industry. Insiders say market research agencies are slowly waking up to a much greater threat.

In the late 1950s, Sandia Laboratory was looking for a way to handle radioactive materials without putting humans in danger. The answer was the Mobot--short for either "remote robot" or "mobile robot"--a remotely operated system designed by Hughes Aircraft Co. in 1959 that offered a unique and effective combination of strength and dexterity. A Sandia press release announcing the robot called it a "Replacement for Man," but in fact the robot had no autonomy; it was teleoperated by a human sitting in front of a massive control console connected to the robot by a 60-meter cable. The Mark I version of the Mobot had a pair of meter-long hydraulically actuated arms capable of lifting up to 68 kilograms (150 pounds), along with adjustable-strength grippers. The entire system was mounted on a forklift.

The silence was shredded by the rat-tat-tat eruptions of a single gun. More soldiers fired, their volleys coalescing into the grim music of war -- a sustained snare drum roll soon interrupted by the bass thumps of the 50-caliber machine gun. All the barrels pointed at a speck tracing a line in the sky over west Mosul. Their target was yet another drone dispatched by Islamic State. In the seven months of the Iraqi government's drive to recapture Mosul from the jihadists, small drones have become a signature tactic of the group: Their appearance on the horizon, loaded with a camera, signals that punishing mortar barrages will soon be on the way.