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AI-powered Mayflower docks in Plymouth

#artificialintelligence

On Thursday, history repeated itself on the shores of Plymouth. In 1620, English pilgrims arrived in North America on the Mayflower. Now, 402 years later, another ship with that name found its way to the Massachusetts coastline. The first Mayflower had more than 100 people on board, the modern version had zero. The Mayflower Autonomous Ship, designed by nautical research company Promare and IBM, completed its voyage from England almost entirely without human assistance.


Crewless robotic Mayflower ship reaches Plymouth Rock

Associated Press

A crewless robotic boat retracing the 1620 sea voyage of the Mayflower has landed near Plymouth Rock. The sleek Mayflower Autonomous Ship met with an escort boat as it approached the Massachusetts shoreline Thursday, more than 400 years after its namesake's historic journey from England. It was towed into Plymouth Harbor -- per U.S. Coast Guard rules for crewless vessels -- and docked near a replica of the original Mayflower that brought the Pilgrims to America. Piloted by artificial intelligence technology, the 50-foot (15-meter) trimaran didn't have a captain, navigator or any humans on board. The solar-powered ship's first attempt to cross the Atlantic in 2021 was beset with technical problems, forcing it back to its home port of Plymouth, England -- the same place the Pilgrim settlers sailed from in 1620.


Score Matching for Truncated Density Estimation on a Manifold

arXiv.org Machine Learning

When observations are truncated, we are limited to an incomplete picture of our dataset. Recent methods deal with truncated density estimation problems by turning to score matching, where the access to the intractable normalising constant is not required. We present a novel extension to truncated score matching for a Riemannian manifold. Applications are presented for the von Mises-Fisher and Kent distributions on a two dimensional sphere in $\R^3$, as well as a real-world application of extreme storm observations in the USA. In simulated data experiments, our score matching estimator is able to approximate the true parameter values with a low estimation error and shows improvements over a maximum likelihood estimator.


A Perturbation Bound on the Subspace Estimator from Canonical Projections

arXiv.org Machine Learning

This paper derives a perturbation bound on the optimal subspace estimator obtained from a subset of its canonical projections contaminated by noise. This fundamental result has important implications in matrix completion, subspace clustering, and related problems.


BeamsNet: A data-driven Approach Enhancing Doppler Velocity Log Measurements for Autonomous Underwater Vehicle Navigation

arXiv.org Artificial Intelligence

Autonomous underwater vehicles (AUV) perform various applications such as seafloor mapping and underwater structure health monitoring. Commonly, an inertial navigation system aided by a Doppler velocity log (DVL) is used to provide the vehicle's navigation solution. In such fusion, the DVL provides the velocity vector of the AUV, which determines the navigation solution's accuracy and helps estimate the navigation states. This paper proposes BeamsNet, an end-to-end deep learning framework to regress the estimated DVL velocity vector that improves the accuracy of the velocity vector estimate, and could replace the model-based approach. Two versions of BeamsNet, differing in their input to the network, are suggested. The first uses the current DVL beam measurements and inertial sensors data, while the other utilizes only DVL data, taking the current and past DVL measurements for the regression process. Both simulation and sea experiments were made to validate the proposed learning approach relative to the model-based approach. Sea experiments were made with the Snapir AUV in the Mediterranean Sea, collecting approximately four hours of DVL and inertial sensor data. Our results show that the proposed approach achieved an improvement of more than 60% in estimating the DVL velocity vector.


Leviathan: China's new navy

Al Jazeera

The Chinese navy, under instruction from President Xi Jinping, has undergone a modernisation and expansion programme that is nothing short of spectacular. Friday's launch of its third and most advanced aircraft carrier, the Fujian, for sea trials underscores just how far it has come, and how fast. The first two carriers, the Liaoning and Shandong, were ex-Soviet designs; the Liaoning initially bought for scrap from Ukraine and refitted. While antiquated, they have been used to train new generations of naval officers and pilots in the complex science and art of aircraft carrier operations. This new design of aircraft carrier is a quantum leap in capabilities from these older models and will greatly enhance China's combat power.


How do we find shipwrecks--and who owns them?

National Geographic

There's nothing more romantic than a hunt for hidden treasure--and when those riches are located in the watery depths of the ocean, it can seem even more exciting. Shipwrecks spark the imagination, prompting dreams of untold riches and swashbuckling adventure. More vessels lie at the bottom of the sea than you might think; the National Oceanic and Atmospheric Administration's database lists over 10,000 known wrecks off of United States shores alone--and that's not a complete list. According to United Nations cultural agency UNESCO, there are at least 3 million such wrecks worldwide, some thousands of years old. And then there's the booty some of those ships carried. Though there's an argument to be made that the treasure aboard now-sunken vessels is priceless, some experts estimate as much as $60 billion in precious metals lies on the ocean floor.


AI-driven robot boat Mayflower crosses Atlantic Ocean

#artificialintelligence

The 50ft (15m) long solar-powered trimaran is capable of speeds of up to 10 knots (20km/h) and was navigated by on-board artificial intelligence (AI) created by IBM with information from six cameras and 50 sensors.


Drone Video Shows Ukrainian Warship Narrowly Escaping Russian Artillery Barrage (Watch)

International Business Times

A stunning drone video has emerged showing a Ukrainian warship narrowly escaping a massive Russian artillery fire, some of which lands as close as 200 feet. The footage, allegedly captured by a shooting spotter drone, shows the Ukrainian vessel Yuri Olefirenko, a Polnochny-class landing ship, coming under Russian attack as it sails along the Bugsko-Dneprovsko-Limansky Canal near the port of Ochakov in Mykolaiv region. According to defense analysts, the incident happened on June 3. The warship appears to be heading to Odessa when invaders rain down missiles on it. The artillery attack covers almost the entire area around the ship, some weapons falling dangerously close to the vessel.


Britain's most amazing shipwrecks REVEALED: Underwater monuments to the UK's rich maritime heritage

Daily Mail - Science & tech

A whopping 350 years after it sank off the coast of Norfolk, authorities have revealed on Friday that HMS Gloucester has finally been found. The'outstanding' ship, which sank on May 6, 1682 after hitting the Norfolk sandbanks in the southern North Sea, was uncovered 28 miles off the coast of Great Yarmouth half-buried on the seabed. But HMS Gloucester is just one of thousands of shipwrecks that litter the British coast, the majority of which haven't been seen by the human eye for centuries. It's thought nearly 40,000 wrecks could be waiting to be found off the British coast, according to Historic England, providing snapshots of the UK's rich maritime heritage. But at least 90 are known to exist and experts have pinpointed their location, although many likely won't ever be brought to land and could disintegrate to nothing in the decades to come.