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Tracking USS Lincoln's months-long mission as concerns about conditions grow

BBC News

Tracking USS Lincoln's months-long mission as concerns about conditions grow To play this video you need to enable JavaScript in your browser. Tracking USS Lincoln's months-long mission as concerns about conditions grow Close There have been reports of poor conditions on board the USS Abraham Lincoln, which the US Navy says will soon be brought home from the Middle East. The aircraft carrier was originally expected back in May - but the US war with Iran has kept it at sea for around 250 days straight. BBC Verify has used satellite imagery to monitor the warship's movements which last docked in December last year. Updates from your News topics will appear in My News and in a collection on the News homepage .


What to Know About the Growing Concerns Over Conditions on the Long-Deployed USS Abraham Lincoln

TIME - Tech

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Tragic piece of WWII history discovered on historic submarine

Popular Science

A tiny valve is all that remains of the doomed USS Trigger. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The USS Trigger was likely sunk by Japanese depth charges on March 28, 1945. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .


UK complacent about war threat, warns defence boss

BBC News

The UK has been too complacent about the risk of foreign attack, the boss of Europe's biggest defence contractor BAE Systems has warned. Dr Charles Woodburn told the BBC in an exclusive interview that the level of threat was the highest he'd seen in his lifetime. He welcomed the recent boost to defence spending but said much more would be needed to hit the government's commitment to spend 3.5% of GDP on defence by 2035. He also warned we were not far from the use of autonomous lethal weapons by countries that may not follow the UK's policy of maintaining human control. In a rare interview, Woodburn told the BBC the reality of modern warfare had changed quite profoundly and that UK defence spending had to change with it.


Steve Forbes urges Trump to keep the Strait of Hormuz open at all costs

FOX News

Steve Forbes argues that the Trump administration should ratchet up pressure to remove the Iranian regime, would not discard 'hand-to-hand combat' to keep Strait of Hormuz open.


Legendary WW2 submarine heads to Wisconsin for major facelift

Popular Science

The USS Silversides sank at least 23 ships in the Pacific theater. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The USS Silversides is one of the most decorated ships in US history. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .


Russian warship fires warning shots near UK-registered yacht in Channel

BBC News

'It was surreal': British couple describe having warning shots fired near them by Russian warship A retired British couple who were on a yacht which had warning shots fired near it by a Russian warship in the English Channel have told the BBC the experience was surreal. Jane and Alan Kelvey were sailing 23 miles (37km) off the Isle of Wight in international waters when they came into close contact with the Russian frigate, the Admiral Grigorovich on Tuesday. Sir Keir Starmer said firing shots into the path of a UK-registered yacht was reckless - an incident the Ministry of Defence has described as an isolated one. Russia's Defence Ministry said the yacht had been on a dangerous approach towards the warship but the couple said they were not on a collision course. The incident comes days after Royal Marine Commandos intercepted a Russian shadow fleet tanker carrying sanctioned oil in the Channel on Sunday, in the first operation of its kind carried out by the British military.


Mogami frigate talks anchor first Japan-Australia-N.Z. trilateral defense chiefs' meeting

The Japan Times

Defense Minister Shinjiro Koizumi speaks to reporters as New Zealand defense chief Chris Penk (left) and Australian Defense Minister Richard Marles listen on the sidelines of the Shangri-La Dialogue security summit in Singapore on Saturday. Held on the margins of the Shangri-La Dialogue security forum in Singapore on Saturday, the meeting came as Wellington actively evaluates purchasing the same class of advanced warships that Japan recently sold to Australia, in order to maintain interoperability with its sole formal defense ally. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right. With your current subscription plan you can comment on stories. However, before writing your first comment, please create a display name in the Profile section of your subscriber account page.


New Zealand to invest in drones and fleet to shield maritime routes

The Japan Times

A Philippine Navy band plays music to welcome the Royal New Zealand Navy frigate HMNZS Te Kaha upon arrival at the South Harbor, for a four-day goodwill visit in metro Manila in April 2017. New Zealand intends to spend about 1.6 billion New Zealand dollars ($936 million) on drones, ship maintenance and naval upgrades to bolster the island nation's maritime security at a time of increasing concern about supply routes. Defense Minister Chris Penk said Saturday that the government will invest in two types of drones: one for the southwest Pacific to provide long-duration intelligence, surveillance and reconnaissance; the other is a polar-capable vehicle that can operate from naval vessels in the Southern Ocean. "New Zealand's prosperity and security depend on the sea," Penk said in a statement. "Recent events have served as a reminder of how quickly disruptions to international shipping routes can affect economies and supply chains across the globe. The oceans are not a barrier to danger, but a vital national interest that must be actively secured."


A numerical study into neural network surrogate model performance for uncertainty propagation

arXiv.org Machine Learning

Neural network surrogate models have emerged as a promising approach to model solution fields for a wide variety of boundary value problems encountered in physical modeling. Stochastic problems represent an area of particularly high interest because of the potential to significantly reduce the repeated evaluation of expensive forward models via traditional numerical solvers when conducting parametric analysis. However, many studies found in the literature primarily focus on the ability of neural network surrogate models to represent deterministic samples or mean field solutions and largely overlook surrogate model performance at the tails of the distribution. The present study examines in detail the ability of neural network surrogate models to capture the full distribution of solution fields over the entire probability space, while emphasis is placed at the tails of the distribution. Serving as a canonical problem is the heat conduction equation with a highly stochastic source term, inducing extremely large variation in the thermal solution field. Comparisons are made between a classic feed-forward fully connected network and a Deep Operator Network architecture, using both data-driven and physics-informed loss functions. Results show that the worst-case prediction errors are an order of magnitude larger than the mean field error, highlighting the importance of the outlier samples. The large errors associated with extreme samples result from the networks having to extrapolate beyond the bounds of the training data. A method for identifying these samples is presented along with a discussion of potential approaches to account of their errors. Among the models considered, the fully connected neural network trained using a weak form residual loss performs best in handling these extrapolated inputs, achieving the highest prediction accuracy for the numerically produced datasets.