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UK nuclear submarine deployed to Arabian Sea before Iran targets key US-UK base: reports

FOX News

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Dad loses custody of autistic son after fighting sex change, gets support from Elon Musk

FOX News

Alexandre Rocha, a French father in Iceland, claims he lost parental rights after opposing his autistic son's sex reassignment, alleging courts prioritized ideology over his rights.


Friday the 13th linked to biblical end-times prophecy rooted in Jesus' betrayal

Daily Mail - Science & tech

Trump's Iran war death toll climbs to 13 after all crew onboard US refueling plane died in crash Alexander brothers' alleged HIGH SCHOOL rape video: Classmates speak out on sickening footage... as creepy unseen photos are exposed Kylie Jenner's total humiliation in Hollywood: Derogatory rumor leaves her boyfriend's peers'laughing at her' behind her back I've spent 25 years treating patients with autism. This is the truth about the condition that many people don't want to hear: DR MAX PEMBERTON'Comatose' Mojtaba Khamenei'is UNAWARE there is a war on and has no idea he is supreme leader', report says - despite regime issuing his'first statement' Iran-linked cyberattack on US is'first drop of blood' as experts reveal alarming new threat to homeland Pete Hegseth melts down over'fake headlines' on Strait of Hormuz chaos as US hits Iran with'heaviest' day of fire yet Formula One set to CANCEL next month's Bahrain and Saudi Arabia races amid war in the Middle East - leaving a month-long gap in the calendar Trump insiders fear Operation Epic Fury is suddenly at risk over a new threat they're struggling to contain: MARK HALPERIN Pete Hegseth challenges Iran's'wounded and disfigured' new Ayatollah to appear on camera I worked with Carolyn Bessette. This is the'messy' truth about what she was REALLY like in secret. After she met JFK Jr she tried to hide it... but we all knew the nighttime gossip The disturbing truth about the link between alcohol and cancer and whether YOU could be at risk... as the Princess of Wales reveals her relationship with drinking has changed since beating the disease NFL fans left divided as team replace historic logo with'boring' new design as part of franchise rebrand Trump slammed after lifting oil sanctions on Russia as gas prices skyrocket: 'It's a betrayal' Friday the 13th linked to biblical end-times prophecy rooted in Jesus' betrayal Friday the 13th and its reputation of bringing bad luck has been tied to an ancient prophecy of global destruction rooted in the betrayal of Jesus Christ. In an oddity of the modern calendar, Friday the 13th has come again, just one month after arriving on February 13, 2026.


Scientists suggest modifying cars to hit fewer hedgehogs

Popular Science

Placing ultrasound repellants on cars could protect the spiny mammals. Up to one in three hedgehogs in local populations die on roads. Breakthroughs, discoveries, and DIY tips sent six days a week. When it comes to how animals use ultrasound, chances are you immediately think of bats and their amazing echolocation ability. However, researchers have discovered another--arguably much cuter--animal that can also hear ultrasound, with significant implications for its conservation.


Regular Fourier Features for Nonstationary Gaussian Processes

Jawaid, Arsalan, Karatas, Abdullah, Seewig, Jörg

arXiv.org Machine Learning

Simulating a Gaussian process requires sampling from a high-dimensional Gaussian distribution, which scales cubically with the number of sample locations. Spectral methods address this challenge by exploiting the Fourier representation, treating the spectral density as a probability distribution for Monte Carlo approximation. Although this probabilistic interpretation works for stationary processes, it is overly restrictive for the nonstationary case, where spectral densities are generally not probability measures. We propose regular Fourier features for harmonizable processes that avoid this limitation. Our method discretizes the spectral representation directly, preserving the correlation structure among spectral weights without requiring probability assumptions. Under a finite spectral support assumption, this yields an efficient low-rank approximation that is positive semi-definite by construction. When the spectral density is unknown, the framework extends naturally to kernel learning from data. We demonstrate the method on locally stationary kernels and on harmonizable mixture kernels with complex-valued spectral densities.




A Locally Adaptive Normal Distribution

Georgios Arvanitidis, Lars K. Hansen, Søren Hauberg

Neural Information Processing Systems

The underlyingmetricis,however,non-parametric.Wedevelopamaximumlikelihood algorithm to infer the distribution parameters that relies on a combination of gradient descent and Monte Carlo integration. We further extend the LAND to mixture models, andprovidethecorresponding EMalgorithm.