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Dubai’s police department has added a flying motorcycle to its arsenal. Capable of flying with or without a pilot, the bike will be used to help rescue missions and monitor traffic. Due to safety concerns, the bike won’t fly higher than 20 feet. Dubai officials plan to start using the vehicle within the next two years.

The flying motorcycle is just the latest piece of absurd technology the Dubai government has introduced in the last year. The bike will join the ranks of Dubai’s jetpack firefighters, flying taxis, and robot police officers.

Dubai’s push for new government technology is part of their plan improve services ahead of their world fair, Expo 2020, which is expected to attract 25 million visitors to the city.

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In a big step on the journey to our robot-laden future, California is moving to permit companies that are developing self-driving cars to test them in the state with no human safety driver at the wheel.


The state that’s home to the biggest concentration of autonomous vehicles is poised to take a big step to help advance the technology — and fend off efforts by other states to attract test programs.

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(Reuters) — British billionaire Richard Branson on Thursday placed another bet on the future with an investment in Hyperloop One, which is developing super high-speed transportation systems.

Hyperloop One said Branson’s Virgin Group would take the company global and rebrand itself as Virgin Hyperloop One in the near future.

Branson has joined the board of Hyperloop One, which will develop pods that will transport passenger and mixed-use cargo at speeds of 250 miles per hour (402 km per hour).

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The Carnegie scientists, Anna Possner and Ken Caldeira, suspected that drag like this might be far lower over water than over land, particularly in mid-latitude oceans in both the Northern and Southern hemispheres. Why might that be? As Earth tilts away from the sun each autumn, jet stream-like rivers of air form high in the atmosphere. Over the open ocean, storms pull these strong winds down near the planet’s surface, replenishing the wind energy captured by turbines.

The effect might sound small, but it adds up. The scientists calculate that a wind farm in the middle of the North Atlantic would generate at least twice as much energy — and perhaps three times as much — as an identical wind farm in Kansas, itself one of the windiest states in the U.S. A wind farm roughly twice the size of Alaska could generate 18 million megawatts of electricity. That’s enough to meet the entire global demand today.

There are big practical challenges to building such a farm, including coping with extreme mid-ocean weather and transmitting the power back to shore. And by harvesting so much wind in the North Atlantic, a giant wind farm would reduce the output of onshore wind turbines in the U.K. and Western Europe — and reduce temperatures in the Arctic by more than 20 degrees. This might sound attractive at a time when polar ice is melting, but scientists worry about the unforeseen consequences of such geoengineering.

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An international, interdisciplinary research team of scientists has come up with a machine-learning method that predicts molecular behavior, a breakthrough that can aid in the development of pharmaceuticals and the design of new molecules that can be used to enhance the performance of emerging battery technologies, solar cells, and digital displays.

The work appears in the journal Nature Communications.

“By identifying patterns in , the learning algorithm or ‘machine’ we created builds a knowledge base about atomic interactions within a molecule and then draws on that information to predict new phenomena,” explains New York University’s Mark Tuckerman, a professor of chemistry and mathematics and one of the paper’s primary authors.

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We are doing a series of articles that discuss the Hallmarks of Aging. Published in 2013, this paper is highly regarded in academia and is one of the most cited papers in biology, with an average of being cited once every two days. The paper divides aging into distinct categories (“hallmarks”) of damage to explain how the aging process works and how it causes age-related diseases[1].

Today, we will be looking at one of the primary hallmarks, genomic instability.

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