A boat carrying a cargo of British oysters across the English Channel has become the world's first ever shipment completed using remote control. Mersea Island molluscs were on-board the 40-foot (12 m) long Sea-Kit vessel heading to Orstend in Belgium and there was not a single human being on-board. It successfully completed the delivery of the 11 pounds (5kg) of shellfish and then made a return journey with some Belgian beer on-board. Myriad technological gadgets and innovations fed data back to a control room in Maldon, Essex where two workers completed the 22-hour trip. The British vessel is equipped with cameras, radar, microphones, thermal imaging and a back-up autonomous system to keep it and other sea-goers safe.

CAPE CANAVERAL, FLORIDA - A SpaceX shipment arrived at the International Space Station on Monday with a "cosmic catch" by a pair of Canadians. The Dragon capsule delivered 5,500 pounds (2,500 kg) of equipment and experiments. Canadian astronaut David Saint-Jacques used the station's big robot arm -- also made in Canada -- to capture the Dragon approximately 250 miles (400 kilometers) above the North Atlantic Ocean. An external cable that normally comes off during launch dangled from the capsule, but it did not interfere with the grappling. "Welcome on board, Dragon," Saint-Jacques radioed. He congratulated ground teams for their help, in both English and French.

Total SA plans to start a digital factory in the coming weeks to tap artificial intelligence in a bid to save hundreds of millions of dollars on exploration and production projects, according to an executive. The use of artificial intelligence to screen geological data will help identify new prospects, and shorten the time to acquire licenses, drill and make discoveries, Arnaud Breuillac, head of E&P, said at a conference organized by IFP Energies Nouvelles in Paris on Friday. It will also help optimize the use of equipment and reduce maintenance costs, he said. The digital factory will employ between 200 and 300 engineers and build on successful North Sea pilot projects, Chief Executive Officer Patrick Pouyanne said at the same event. It will also be a way to attract "young talent" to the industry.

SpaceX says it lost the Falcon Heavy's center core after'rough sea conditions' caused it to topple over as it was being transported back to the Florida coast. Elon Musk's rocket company managed to make history on Thursday when it landed three boosters back on Earth for the first time, following the Falcon Heavy megarocket's successful second launch into space. But as ocean swells continued to rise, wave heights caused the center core to fall off of the company's drone ship, dubbed'Of Course I Still Love You,' which is stationed in the Atlantic Ocean, according to the Verge. SpaceX says it lost the Falcon Heavy's center core (pictured) after'rough sea conditions' caused it to topple over as it was being transported back to the Florida coast'Over the weekend, due to rough sea conditions, SpaceX's recovery team was unable to secure the center booster for its return trip to Port Canaveral,' SpaceX said in a statement. 'As conditions worsened with eight to ten foot swells, the booster began to shift and ultimately was unable to remain upright.

Russia has been manipulating global satellite positioning (GPS) locations on a vast scale in order to protect Vladimir Putin from drones, according to a report. The Center for Advanced Defense Studies (C4ADS), a Washington-based research organisation, undertook a year-long investigation ending in November 2018 into the manipulation of GPS and other global navigation satellite systems (GNSS). Their report, which drew upon publicly available satellite data, found that the tactic was used in Russia, the Ukraine and Syria, with some incidents of spoofing, correlating closely with the movements of Putin. We'll tell you what's true. You can form your own view.

Machine learning and, more specifically, deep learning algorithms have seen remarkable growth in their popularity and usefulness in the last years. This is arguably due to three main factors: powerful computers, new techniques to train deeper networks and larger datasets. Although the first two are readily available in modern computers and ML libraries, the last one remains a challenge for many domains. It is a fact that big data is a reality in almost all fields nowadays, and geosciences are not an exception. However, to achieve the success of general-purpose applications such as ImageNet - for which there are +14 million labeled images for 1000 target classes - we not only need more data, we need more high-quality labeled data. When it comes to the Oil&Gas industry, confidentiality issues hamper even more the sharing of datasets. In this work, we present the Netherlands interpretation dataset, a contribution to the development of machine learning in seismic interpretation. The Netherlands F3 dataset acquisition was carried out in the North Sea, Netherlands offshore. The data is publicly available and contains pos-stack data, 8 horizons and well logs of 4 wells. For the purposes of our machine learning tasks, the original dataset was reinterpreted, generating 9 horizons separating different seismic facies intervals. The interpreted horizons were used to generate approximatelly 190,000 labeled images for inlines and crosslines. Finally, we present two deep learning applications in which the proposed dataset was employed and produced compelling results.

For effective recognition, we developed a recognition component, combining kinematic vessel streams with library of maritime patterns in close collaboration with domain contextual (geographical) knowledge for real-time vessel activity experts. We present a thorough evaluation of the system and the detection. To improve the accuracy of the system, we collaborated, patterns both in terms of predictive accuracy and computational in the context of this paper, with domain experts in order to construct efficiency, using real-world datasets of vessel position streams and effective patterns of maritime activity. Thus, we present a contextual geographical information.

It will be much harder than we have realised to blow up an asteroid and save the planet, scientists have warned. Experts have repeatedly warned that it is a question of when not if the Earth will be hit by the arrival of a potentially disastrous asteroid. But films have suggested a simple if high-tech response: launching heroes into space to blow it up before it ever gets here. In real life, however, those asteroids could be far more difficult to destroy than we knew. That is according to a new study from scientists at Johns Hopkins, who simulated the ways that an asteroid collision might happen and how such a space rock would fracture.

SpaceX's new Crew Dragon capsule has arrived at the International Space Station, acing its second milestone in just over a day. No one was on board the capsule launched on Saturday on its first test flight, only an instrumented dummy. But the three station astronauts had front-row seats as the Dragon neatly docked on Sunday morning and became the first American-made, designed-for-crew spacecraft to pull up in eight years. If the six-day demo goes well, SpaceX could launch two astronauts this summer under NASA's commercial crew programme. Both astronauts were at SpaceX Mission Control in California, observing all the action.

By 2025, augmented analytics will have a far-reaching impact, especially on the US economy. This shortage along with the higher hiring cost will demand for the use of citizen data science. It will permit businessman to leverage data without having earlier experience or expertise. "Through 2020, the number of citizen data scientists will grow five times faster than the number of expert data scientists. Organizations can use citizen data scientists to fill the data science and machine learning talent gap caused by the shortage and high cost of data scientists," said an official from renowned organization.