Over 95% of internet traffic is transmitted via undersea cables. Soon, data may not only be sent, but also stored underwater. High energy costs of data centres (up to 3% of global energy use) have driven their relocation to places like Iceland, where cold climates increase cooling efficiency. Meanwhile, about 40% of people on the planet live in coastal cities. To simultaneously cope with high real estate costs in these oceanfront growth centres, reduce latency, and overcome the typically high expense of cooling data centers, Microsoft successfully tested a prototype underwater data centre off the coast of California last year.

BOULDER, Colo.--(BUSINESS WIRE)--Today Tractica announced the launch of its new Artificial Intelligence Advisory Service, a subscription-based market research and analysis suite that provides independent and objective market intelligence and strategy insights for companies engaged in the rapidly evolving artificial intelligence (AI) market. As part of the service, Tractica's global industry analyst team provides strategic and quantitative analysis focused on the market opportunity for AI technologies in enterprise, consumer, and government markets. Research reports include an in-depth examination of AI business models, use cases, technology issues, and key industry players in addition to detailed market sizing, segmentation, and forecasts. Tractica's Artificial Intelligence Advisory Service examines use cases and business models for the application of artificial intelligence technologies in enterprise, consumer, and government markets.

Technology is getting smarter, faster. Experts including the authors of The Second Machine Age, Erik Brynjolfsson and Andrew McAfee, examine the impact that "thinking" machines may have on top-management roles. The exact moment when computers got better than people at human tasks arrived in 2011, according to data scientist Jeremy Howard, at an otherwise inconsequential machine-learning competition in Germany. Contest participants were asked to design an algorithm that could recognize street signs, many of which were a bit blurry or dark. Humans correctly identified them 98.5 percent of the time. At 99.4 percent, the winning algorithm did even better. Or maybe the moment came earlier that year, when IBM's Watson computer defeated the two leading human Jeopardy!

International Business Machines Corporation (NYSE:IBM) traded 6.43 Million shares on last trading day with closing price of 153.84. Company gross margin stands at 48.90% whereas its return on investment (ROI) is 23.40%. Stock value has moved between 114.81 – 165.42 in last one year. Analyst's mean target price for International Business Machines Corporation (NYSE:IBM) is 39.00 while analysts mean recommendation is 2.90. IBM EPS growth this year and EPS growth next year is -12.80%, 4.42% respectively.

States across the Southeast are experiencing sharp jumps in gas prices after a major gasoline pipeline ruptured in central Alabama, spilling as many as 336,000 gallons of fuel upstream from a national wildlife refuge. But thanks to a few strokes of luck, the environmental damage is minimal. The pipeline breached near an old coal mine pit, and much of the fuel flowed into a water retention pond. With local streams dry -- much of central Alabama is suffering from moderate to severe drought -- the gasoline did not find its way down into the Cahaba River, home to 64 rare and endangered plant and animal species, including the Cahaba lily. "We really did bypass the bullet," said Myra Crawford, executive director at Cahaba Riverkeeper, which has been monitoring the area by canoe and foot."It

A large flame of burning gas erupted over a refinery in Torrance on Sunday, prompting authorities to close a stretch of Del Amo Boulevard for about two hours. Torrance firefighters were dispatched to the former Exxon Mobil refinery at 7:12 a.m., Captain Bob Millea said. A power outage in the northern part of the city had caused issues for some of the units at the plant, Millea said, prompting what he called an "unplanned flaring event." To stabilize its systems, the plant sent hydrocarbon products to the flare, causing a large flame to burst over the plant's metal smoke stacks -- similar to the way a giant lighter might function, Millea said. Fire officials shut down Del Amo Boulevard between Maple Avenue and Crenshaw Boulevard in both directions until systems were declared stable at about 9:20 a.m., Millea said.

Like most sectors, the solar industry is rapidly embracing ways to analyze and crunch data in order to lower the cost of solar energy and to open up new markets for their technology. The rise of data tools--algorithms, machine learning, sensors--are driving investments in, and acquisitions of, solar startups, while entrepreneurs are launching new companies that are using data to solve various solar industry problems. Meanwhile, big companies are spending money on tracking, monitoring and evaluating data from solar projects worldwide, helping to lower the cost of generating energy from the sun. It shouldn't come as a surprise that the solar sector is the latest to embrace the value of data. Other traditionally non-digital sectors, like the auto industry, oil and gas, and agriculture are turning to managing data as a necessity to keep their technology competitive and their companies in business.

Over the years, Alphabet and Facebook have invested in everything from walking dog robots to autonomous high altitude wind turbine planes. While not always directly related to their core business, these investments provide an outlet for generous cash flows and could open up future business opportunities. At the very least, crazy science projects generate buzz for the company, which certainly doesn't hurt. However, these two aren't the only tech companies that invest heavily in far-off scientific endeavors in hopes of big payoffs. Microsoft (NASDAQ:MSFT) employs hundreds of scientists through the powerful entity known as Microsoft Research, which has contributed to nearly every product sold by the company in the last several decades.

FILE - This Aug. 29, 2016, file photo provided by Sharper Shape and SkySkopes shows a Sharper A6 drone before a test to fly over power lines in eastern North Dakota near Blanchard. The drone is specially designed for utility asset inspections. The drone is being tested as part of a project by Xcel Energy to see of unmanned aircraft can help crews restore power to areas hit by natural disasters. Officials with the company hope to be flying beyond visual line of sight by the end of the year.

This post is authored by Jaya Mathew & Hong Lu, Data Scientists at Microsoft, in collaboration with the team at ServusNet. Governments worldwide are actively promoting the use of renewable energy because of the growing concern over climate change and carbon emissions. Among the available renewable energy sources, harnessing energy through wind turbines offers a compelling alternative. There are a growing number of wind farms throughout the world now, and, as the industry matures at a rapid pace, it is increasing its focus on operational efficiency and cost-competitiveness. Given the inherent variability in wind energy production, the ability to analyze the data generated by wind turbines to characterize historical behavior and create a framework to predict future performance can be a critical asset and business differentiator.