Mallorca
Reliable Statistical Guarantees for Conformal Predictors with Small Datasets
Sánchez-Domínguez, Miguel, Lacasa, Lucas, de Vicente, Javier, Rubio, Gonzalo, Valero, Eusebio
Surrogate models (including deep neural networks and other machine learning algorithms in supervised learning) are capable of approximating arbitrarily complex, high-dimensional input-output problems in science and engineering, but require a thorough data-agnostic uncertainty quantification analysis before these can be deployed for any safety-critical application. The standard approach for data-agnostic uncertainty quantification is to use conformal prediction (CP), a well-established framework to build uncertainty models with proven statistical guarantees that do not assume any shape for the error distribution of the surrogate model. However, since the classic statistical guarantee offered by CP is given in terms of bounds for the marginal coverage, for small calibration set sizes (which are frequent in realistic surrogate modelling that aims to quantify error at different regions), the potentially strong dispersion of the coverage distribution around its average negatively impacts the relevance of the uncertainty model's statistical guarantee, often obtaining coverages below the expected value, resulting in a less applicable framework. After providing a gentle presentation of uncertainty quantification for surrogate models for machine learning practitioners, in this paper we bridge the gap by proposing a new statistical guarantee that offers probabilistic information for the coverage of a single conformal predictor. We show that the proposed framework converges to the standard solution offered by CP for large calibration set sizes and, unlike the classic guarantee, still offers relevant information about the coverage of a conformal predictor for small data sizes. We validate the methodology in a suite of examples, and implement an open access software solution that can be used alongside common conformal prediction libraries to obtain uncertainty models that fulfil the new guarantee.
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- Europe > Spain > Balearic Islands > Mallorca > Palma (0.04)
Natural, Artificial, and Human Intelligences
Pothos, Emmanuel M., Widdows, Dominic
Human achievement, whether in culture, science, or technology, is unparalleled in the known existence. This achievement is tied to the enormous communities of knowledge, made possible by language: leaving theological content aside, it is very much true that "in the beginning was the word", and that in Western societies, this became particularly identified with the written word. There lies the challenge regarding modern age chatbots: they can 'do' language apparently as well as ourselves and there is a natural question of whether they can be considered intelligent, in the same way as we are or otherwise. Are humans uniquely intelligent? We consider this question in terms of the psychological literature on intelligence, evidence for intelligence in non-human animals, the role of written language in science and technology, progress with artificial intelligence, the history of intelligence testing (for both humans and machines), and the role of embodiment in intelligence. We think that it is increasingly difficult to consider humans uniquely intelligent. There are current limitations in chatbots, e.g., concerning perceptual and social awareness, but much attention is currently devoted to overcoming such limitations.
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A Certifiable Machine Learning-Based Pipeline to Predict Fatigue Life of Aircraft Structures
Ladrón, Ángel, Sánchez-Domínguez, Miguel, Rozalén, Javier, Sánchez, Fernando R., de Vicente, Javier, Lacasa, Lucas, Valero, Eusebio, Rubio, Gonzalo
Fatigue life prediction is essential in both the design and operational phases of any aircraft, and in this sense safety in the aerospace industry requires early detection of fatigue cracks to prevent in-flight failures. Robust and precise fatigue life predictors are thus essential to ensure safety. Traditional engineering methods, while reliable, are time consuming and involve complex workflows, including steps such as conducting several Finite Element Method (FEM) simulations, deriving the expected loading spectrum, and applying cycle counting techniques like peak-valley or rainflow counting. These steps often require collaboration between multiple teams and tools, added to the computational time and effort required to achieve fatigue life predictions. Machine learning (ML) offers a promising complement to traditional fatigue life estimation methods, enabling faster iterations and generalization, providing quick estimates that guide decisions alongside conventional simulations. In this paper, we present a ML-based pipeline that aims to estimate the fatigue life of different aircraft wing locations given the flight parameters of the different missions that the aircraft will be operating throughout its operational life. We validate the pipeline in a realistic use case of fatigue life estimation, yielding accurate predictions alongside a thorough statistical validation and uncertainty quantification. Our pipeline constitutes a complement to traditional methodologies by reducing the amount of costly simulations and, thereby, lowering the required computational and human resources.
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- North America > United States > District of Columbia > Washington (0.04)
- Europe > Spain > Balearic Islands > Mallorca > Palma (0.04)
- Transportation > Air (1.00)
- Aerospace & Defense > Aircraft (1.00)
Space agency breaks silence on 'foreign' interstellar object soaring past Mars: 'A rare visitor'
Dolly Parton's sister asks for prayers for music icon, 79, amid mystery health battle Bloodcurdling videos shows girl aged 12 subway surfing days before she and friend, 13, died during 3.10am stunt Trump's mass deportation effort removed staggering amount of migrants from US in first year of term: 'Just the beginning' Mom-of-two hospitalized, her son left suicidal and their dog dead... after a simple mistake turns $500K home into a death trap Popular actress shocks fans with'unrecognizable' appearance after suffering heartbreaking tragedy Selena Gomez's'disgusting' habit on her wedding day exposed by eagle-eyed fans despite star's efforts to hide it Charlie Kirk leaked text confirms he was livid about'bullying' Jewish donors: 'I'm leaving pro-Israel cause' She's accused of'murder-for-hire' plot against her famous TV star husband. Now there's a shock twist in the case... and she's forced to stare her demons in the face Man is arrested on terror charges over disturbing Halloween display of fake body bags with town official's titles Space agency breaks silence on'foreign' interstellar object soaring past Mars: 'A rare visitor' 'Disneyland of grocery stores' reveals items most hit by tariffs and the fan favorite it STOPPED buying from China Space agency breaks silence on'foreign' interstellar object soaring past Mars: 'A rare visitor' READ MORE: Mysterious interstellar visitor spotted above Mars appears as'massive cylindrical craft' The European Space Agency (ESA) has finally shared new details about the mysterious interstellar visitor days after its closest approach to Mars . The object, dubbed 3I/ATLAS, came within 18.6 million miles of the Red Planet on October 3, and while NASA quickly uploaded images captured by its Perseverance rover on the Martian surface, ESA had remained quiet until now . The ESA's ExoMars Trace Gas Orbiter (TGO) captured images of the object, appearing as a tiny, blurry white dot in a series of images. The object's icy nucleus and its surrounding halo of gas and dust, called a coma, could not be distinguished separately, but the faint glow was clearly visible against the blackness of space.
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Do you have one of these gathering dust in your attic? Experts reveal the forgotten gadgets that could be worth a fortune - including answering machines for landlines
Dolly Parton's sister asks for prayers for music icon, 79, amid mystery health battle Charlie Kirk leaked text confirms he was livid about'bullying' Jewish donors: 'I'm leaving pro-Israel cause' Mom-of-two hospitalized, her son left suicidal and their dog dead... after a simple mistake turns $500K home into a death trap Trump's mass deportation effort removed staggering amount of migrants from US in first year of term: 'Just the beginning' Man is arrested on terror charges over disturbing Halloween display of fake body bags with town official's titles Selena Gomez's'disgusting' habit on her wedding day exposed by eagle-eyed fans despite star's efforts to hide it Popular actress shocks fans with'unrecognizable' appearance after suffering heartbreaking tragedy She's accused of'murder-for-hire' plot against her famous TV star husband. Now there's a shock twist in the case... and she's forced to stare her demons in the face Bloodcurdling videos shows girl aged 12 subway surfing days before she and friend, 13, died during 3.10am stunt'Kissing Trump's a**': President mocks Canada's obsequious PM as he begs for tariff relief Keith Urban's guitarist Maggie once vowed to'never' date a tour mate... as she's accused of charming Nicole Kidman's ex Hollywood's favorite muscle car primed for return as America's No.1 automaker files secret paperwork Do you have one of these gathering dust in your attic? It was only a couple of decades ago that homes and offices were filled with answering machines and BlackBerry phones. And although they've been obsolete for years, they're now among the retro gadgets that could make you a fortune. Brits are sitting on a hidden goldmine of old forgotten tech devices that may be gathering dust in the attic, according to a new report from Gumtree.
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'Meteor' streaks through Britain's skies tonight leaving lucky gazers in awe
Charlie Kirk leaked text confirms he was livid about'bullying' Jewish donors: 'I'm leaving pro-Israel cause' White House insider who says WAR with Venezuela is inevitable... as Trump's lethal options are laid out I've seen the real Victoria Beckham... her actions gave me PTSD, she shunned me and even banned me from glancing in her direction. Jimmy Kimmel's audience boom comes crashing down as he loses 71% of viewers in one week'Kissing Trump's a**': President mocks Canada's obsequious PM as he begs for tariff relief World's most invasive predator terrorizing East Coast is delicious and should be eaten to stop its spread, experts say I've had enough of the arrogant and entitled fat brigade. Bloodcurdling videos shows girl aged 12 subway surfing days before she and friend, 13, died during 3.10am stunt Another blow for Prince Harry as African country cuts ties with his'disrespectful' charity Friends fear for new CBS News boss Bari Weiss, claiming her wife thinks she sold out... and her new job will'consume her life' Keith Urban's guitarist Maggie once vowed to'never' date a tour mate... as she's accused of charming Nicole Kidman's ex Hollywood's favorite muscle car primed for return as America's No.1 automaker files secret paperwork AMANDA PLATELL: I never thought I'd feel sorry for Harry. There's one thing he'd do anything to defend... and now Meghan's trampled all over it Ben Affleck's VERY familiar whispers to Jennifer Lopez on the red carpet revealed... as their romantic new era sends fans into overdrive Jimmy Kimmel continues anti-Trump rants and says he's more popular with Americans than the president Brits have been left in awe after spotting what is believed to be a'meteor' glowing through the night sky. Lucky stargazers in Northfields and West Ealing, west London, have reported seeing a blue-ish green blob race through the city's sky tonight.
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Top-secret US spy jet spotted circling Russia amid mounting WW3 fears
'Kissing Trump's a**': President mocks Canada's obsequious PM as he begs for tariff relief World's most invasive predator terrorizing East Coast is delicious and should be eaten to stop its spread, experts say Clash of the White House titans: Two of Trump's most powerful lieutenants go to WAR with each other - after vicious leak sent shockwaves AMANDA PLATELL: I never thought I'd feel sorry for Harry. There's one thing he'd do anything to defend... and now Meghan's trampled all over it White House insider who says WAR with Venezuela is inevitable... as Trump's lethal options are laid out Jimmy Kimmel's audience boom comes crashing down as he loses 71% of viewers in one week Lynn put her strange symptoms down to being a busy mum. AOC hit by shockingly crude sex insult by White House after she mocked'TINY' Stephen Miller Friends fear for new CBS News boss Bari Weiss, claiming her wife thinks she sold out... and her new job will'consume her life' Biden ordered CIA cover-up of his'corrupt' business ties to Ukraine, astonishing secret files show We've lost FOURTEEN stone on weight-loss jabs... and it's changed our lives in ways you'd NEVER expect. Jerry Jones slapped with fine by NFL for making rude gesture to fans... but Cowboys owner gives baffling excuse And a humiliating lifeline: Backroom secrets of Taylor Swift and Blake Lively... after hit new song Inside the rise of'kidfluencers' and the hidden toll of turning childhood into million-dollar content A US Air Force jet designed to collect intelligence on enemy radar systems was spotted making circles over Russia, following rising tensions with Moscow . Flight tracking data showed the RC-135U'Combat Sent' taking off from England early Tuesday, flying over the Baltic states and looping around Kaliningrad, the Russian exclave between Poland and Lithuania, before returning to the UK.
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Sea level rise could plunge 100 MILLION buildings underwater, warn scientists - so, is your home at risk?
AOC hit by shockingly crude sex insult by White House after she mocked'TINY' Stephen Miller Biden ordered CIA cover-up of his'corrupt' business ties to Ukraine, astonishing secret files show NYC girls aged 12 and 13 meet tragic end after going subway surfing across Williamsburg Bridge at 3.10am ERIC TRUMP: The darkest day in my dad's marriage to Melania... before the ugly truth was exposed More girls are starting their periods younger than ever before - scientists think they've finally found what's causing it Taylor Swift reveals truth behind raunchy song about Travis Kelce's manhood Meghan is accused of'giggling as model stumbles on the catwalk': More Paris Fashion Week disasters emerge, including awkward moment with Kristin Scott Thomas The TRUTH to the doting mother who slaughtered her children and husband told by those she'd been quietly tormenting for years The troubled background of delivery man stabbed by Mark Sanchez... as he launches million-dollar lawsuit and sparks civil war at Fox Revealed: Which slimming jab REALLY works best. The doctors' ultimate expert guide on which to pick, how to save money, beat every side effect... and what you need to know about the'golden dose' I haven't heard that name in so long' Ominous warning for humanity as birds suddenly adopt'unsettling' behavior And a humiliating lifeline: Backroom secrets of Taylor Swift and Blake Lively... after hit new song Bottled water contains dangerous levels of microplastics that lodge in vital organs and raise cancer risk', scientists warn Sea level rise could plunge 100 MILLION buildings underwater, warn scientists - so, is your home at risk? Rising sea levels could plunge more than 100 million buildings underwater by 2100, scientists have warned. The experts in Canada estimated how many buildings in Africa, Southeast Asia and Central and South America would be flooded by different sea level changes. Their assessment found that sea level rises of just 1.6 feet (0.5 metres) would flood three million buildings in the global south alone.
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Storm Karen to explode in just DAYS with hurricane models revealing dangerous path to the US
AOC hit by shockingly crude sex insult by White House after she mocked'TINY' Stephen Miller Biden ordered CIA cover-up of his'corrupt' business ties to Ukraine, astonishing secret files show NYC girls aged 12 and 13 meet tragic end after going subway surfing across Williamsburg Bridge at 3.10am ERIC TRUMP: The darkest day in my dad's marriage to Melania... before the ugly truth was exposed More girls are starting their periods younger than ever before - scientists think they've finally found what's causing it Taylor Swift reveals truth behind raunchy song about Travis Kelce's manhood Meghan is accused of'giggling as model stumbles on the catwalk': More Paris Fashion Week disasters emerge, including awkward moment with Kristin Scott Thomas The TRUTH to the doting mother who slaughtered her children and husband told by those she'd been quietly tormenting for years The troubled background of delivery man stabbed by Mark Sanchez... as he launches million-dollar lawsuit and sparks civil war at Fox Revealed: Which slimming jab REALLY works best. The doctors' ultimate expert guide on which to pick, how to save money, beat every side effect... and what you need to know about the'golden dose' I haven't heard that name in so long' Ominous warning for humanity as birds suddenly adopt'unsettling' behavior And a humiliating lifeline: Backroom secrets of Taylor Swift and Blake Lively... after hit new song Bottled water contains dangerous levels of microplastics that lodge in vital organs and raise cancer risk', scientists warn A weather system developing right off the US East Coast could strengthen into a dangerous tropical storm in the coming days, experts have warned. Meteorologists said that this tropical rainstorm is expected to form quickly over the weekend, potentially bringing'prolonged coastal flooding' to the entire East Coast, from southern Florida to New England. The National Hurricane Center (NHC) has noted that the next two Atlantic storm names will be Jerry and Karen, with Jerry likely to form farther away from the US this week. As for the storm that could become Karen, forecasters have already predicted that North Carolina, Virginia, and Maryland are expected to get heavy rainfall between Friday and Saturday.
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The land use-climate change-biodiversity nexus in European islands stakeholders
Moustakas, Aristides, Christoforidi, Irene, Zittis, George, Demirel, Nazli, Fois, Mauro, Zotos, Savvas, Gallou, Eirini, Stamatiadou, Valentini, Tzirkalli, Elli, Zoumides, Christos, Košić, Kristina, Christopoulou, Aikaterini, Dragin, Aleksandra, Łowicki, Damian, Gil, Artur, Almeida, Bruna, Chrysos, Panos, Balzan, Mario V., Mansoldo, Mark D. C., Ólafsdóttir, Rannveig, Ayhan, Cigdem Kaptan, Atay, Lutfi, Tase, Mirela, Stojanović, Vladimir, Ladičorbić, Maja Mijatov, Díaz, Juan Pedro, Expósito, Francisco Javier, Quiroga, Sonia, Cano, Miguel Ángel Casquet, Wang, Haoran, Suárez, Cristina, Manolaki, Paraskevi, Vogiatzakis, Ioannis N.
To promote climate adaptation and mitigation, it is crucial to understand stakeholder perspectives and knowledge gaps on land use and climate changes. Stakeholders across 21 European islands were consulted on climate and land use change issues affecting ecosystem services. Climate change perceptions included temperature, precipitation, humidity, extremes, and wind. Land use change perceptions included deforestation, coastal degradation, habitat protection, renewable energy facilities, wetlands, and others. Additional concerns such as invasive species, water or energy scarcity, infrastructure problems, and austerity were also considered. Climate and land use change impact perceptions were analysed with machine learning to quantify their influence. The predominant climatic characteristic is temperature, and the predominant land use characteristic is deforestation. Water-related problems are top priorities for stakeholders. Energy-related problems, including energy deficiency and issues with wind and solar facilities, rank high as combined climate and land use risks. Stakeholders generally perceive climate change impacts on ecosystem services as negative, with natural habitat destruction and biodiversity loss identified as top issues. Land use change impacts are also negative but more complex, with more explanatory variables. Stakeholders share common perceptions on biodiversity impacts despite geographic disparity, but they differentiate between climate and land use impacts. Water, energy, and renewable energy issues pose serious concerns, requiring management measures.
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