A'crazy' artificial island in the North Sea that could supply renewable energy to 80 million people in Europe is set to open in 2027.

Every day, it seems that there is another innovation regarding how artificial intelligence can be used to do things humans couldn't do on their own. Several weeks ago, it was reported that scientists can now use AI to listen to conversations that dolphins are having with each other; an algorithm assists a research team go through millions of echolocation clicks made by these marine mammals found in the Gulf of Mexico.

This post is part five of a series of posts examining the features of the Redis-ML module. The first post in the series can be found here. The sample code included in this post requires several Python libraries and a Redis instance with the Redis-ML module loaded. Detailed setup instructions for the runtime environment are provided in both part one and part two of the series.

Dozens of perfectly preserved ancient shipwrecks have been found at the bottom of the Black Sea. A total of 60 wrecks were discovered dating back as far as 2,500 years, including galleys from the Roman, Byzantine and Ottoman empires. Scientists stumbled upon the graveyard while using underwater robots to survey the effects of climate change along the Bulgarian coast. Because the Black Sea contains almost no light or oxygen, little life can survive, meaning the wrecks are in excellent condition. Researchers say their discovery is'truly unrivalled'.

Reports of satellite navigation problems in the Black Sea suggest that Russia may be testing a new system for spoofing GPS, New Scientist has learned. This could be the first hint of a new form of electronic warfare available to everyone from rogue nation states to petty criminals. On 22 June, the US Maritime Administration filed a seemingly bland incident report. The master of a ship off the Russian port of Novorossiysk had discovered his GPS put him in the wrong spot – more than 32 kilometres inland, at Gelendzhik Airport. After checking the navigation equipment was working properly, the captain contacted other nearby ships.

In this study, the wind data series from five locations in Aegean Sea islands, the most active `hotspots' in terms of refugee influx during the Oct/2015 - Jan/2016 period, are investigated. The analysis of the three-per-site data series includes standard statistical analysis and parametric distributions, auto-correlation analysis, cross-correlation analysis between the sites, as well as various ARMA models for estimating the feasibility and accuracy of such spatio-temporal linear regressors for predictive analytics. Strong correlations are detected across specific sites and appropriately trained ARMA(7,5) models achieve 1-day look-ahead error (RMSE) of less than 1.9 km/h on average wind speed. The results show that such data-driven statistical approaches are extremely useful in identifying unexpected and sometimes counter-intuitive associations between the available spatial data nodes, which is very important when designing corresponding models for short-term forecasting of sea condition, especially average wave height and direction, which is in fact what defines the associated weather risk of crossing these passages in refugee influx patterns.

Researchers have developed the world's first autonomous, zero-emissions cargo ship. The vessel could dramatically reduce diesel emissions from conventional cargo ships. The vessel, developed by agriculture company Yara International ASA and high-technology systems firm Kongsberg Gruppen, will be loaded and unloaded automatically using electric cranes. Researchers have developed the world's first autonomous, zero-emissions cargo ship: The Yara Birkeland. Developed by agriculture company Yara International ASA and high-technology systems firm Kongsberg Gruppen, will be capable of autonomous mooring and route planning.

Robots in Service of the Environment has designed an underwater robot to combat a growing problem in the Atlantic Ocean: the invasive lionfish.

Undoing man's folly is, sometimes, a robot's work. Unwittingly introduced to the Atlantic Ocean over a quarter of a century ago, the lionfish, which is native to the Pacific, is responsible for an ecological disaster of epic proportions in the Caribbean, Bermuda's, and off the shore of Florida coast, and it's spreading up the coast. A complete lack of predators, voracious appetite and ability to reproduce at an astonishing rate has resulted in a mushrooming lionfish population that is decimating ecosystems, coral reefs and the fishing business. SEE ALSO: A fish that doesn't belong is wreaking havoc on our ocean Catching and eating lionfish, which are delicious, sounds like a reasonable solution, but the fish can't be netted, and are generally fished one person and one spear at a time. If fisherman can't catch lionfish en masse, they can't sell them at quantities to food stores and restaurants.

I am in an aeroplane crossing the Atlantic Ocean as I write this. We took off from Heathrow Airport more than three hours ago. By now, it's likely the plane's captain and crew are not physically in control of the aircraft. Something as complex as flying a metal tube packed with more than 300 living souls at 12,000 metres and 900kph is left to a computer and a set of algorithms. Such a device is badly needed in our hospital wards.