AI technology is fuelling an explosion in voice cloning scams, experts have warned. Fraudsters can now mimic a victim's voice using just a three second snippet of audio, often stolen from social media profiles. It is then used to phone a friend or family member convincing them they are in trouble and urgently need money. One in four Britons say they or someone they know has been targeted by the scam, according to cybersecurity specialists McAfee. It is so believable the majority of those affected admitted they have lost money as a result, with the cost for around a third of victims over £1,000.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Ukrainian President Volodymyr Zelenskyy traveled to Helsinki for talks with the prime ministers of four Nordic countries Wednesday as part of his effort to secure greater firepower for his country's armed forces as they figure out how to dislodge Russian troops from occupied areas of Ukraine. The Nordic countries -- Finland, Sweden, Norway and Denmark -- have been among Kyiv's strongest backers since Russia's full-scale invasion of Ukraine in February 2022. Before the meeting with Zelenskyy in Finland's capital, Nordic officials appeared ready to provide more aid as the war stretches into its 15th month.

Russia accused Ukraine on Wednesday of attacking the Kremlin with drones overnight in a failed bid to kill President Vladimir Putin. The Kremlin said two drones had been used in the alleged attack on Putin's residence in the Kremlin citadel, but had been disabled by electronic defenses. It said Russia reserved the right to retaliate -- a comment that suggested that Moscow might use the alleged incident to justify a further escalation in the 14-month-old war with Ukraine. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites. If this does not resolve the issue or you are unable to add the domains to your allowlist, please see this FAQ.

'COURAGE TO CALL' - Authorities credit arrest of Texas mass shooting suspect to vital tip-line clue. Experts weigh in on how the technology will affect work. Continue reading … CHEAP SHOTS - Prince Harry's comments that King Charles and Prince William cannot forgive. Continue reading … 'GET HIM OUT OF HERE' - Donald Trump kicks NBC reporter off plane, slams network as "fake news." BATTLEFIELD RULES - AI requires "new generation" of arms control deal to govern future warfighting, says Marine veteran lawmaker.

As is now tradition, an enormous piece of gaming news landed right after last week's Pushing Buttons went out to readers: Microsoft's huge $70bn purchase of Call of Duty, World of Warcraft and Candy Crush owner Activision Blizzard, a deal that has been in the works since January last year, was unexpectedly blocked by a UK regulator. This might not seem interesting to anyone except those involved with the business of video games, or people with an inexplicable interest in the actions of regulatory authorities in Britain, but wait! It is quite interesting, because the response from these two giant companies has been entertainingly petty. All corporations are entitled brats. For decades, US- and UK-driven neoliberalism has empowered them to consider themselves legally equivalent to actual people, and deserving of privilege, ostensibly because they create wealth and jobs.

Tom Newhouse, vice president of Convergence Media, discusses the potential impact of artificial intelligence on elections after an RNC AI ad garnered attention. A Marine veteran lawmaker says the U.S. should be pushing for a new international agreement to govern the use of artificial intelligence on the battlefield and believes it's a "strategic mistake" the Pentagon hasn't started this important task. Rep. Seth Moulton, D-Mass., said the U.S. needs to work with other military powers to flesh out rules of the road on how AI can and cannot be deployed by military forces before AI becomes much more advanced. "When we get to the point of having killer robots, it's going to be a real problem for us if we don't have some established international norms for their use," Moulton told Fox News Digital. "Adversaries like China and Russia -- which don't care about collateral damage, they don't care about civilian casualties, they don't care about human rights -- they're going to have an advantage in making their robots more lethal because they'll be less constrained."

Fox News contributor Joe Concha joins'Fox & Friends First' to discuss Elon Musk's warning that artificial intelligence could threaten elections and his concerns on the declining birth rate. Artificial intelligence has become wildly popular for many Americans, but people over the age of 45 are trailing those younger than them on AI familiarity, a Fox News poll shows. Fifty-eight percent of registered voters over the age of 45 who were surveyed for the poll say they are not familiar with AI technology such as OpenAI's ChatGPT. Only 41% of registered voters over 45 reported they are familiar with the technology. The figures stand in stark contrast to younger Americans, with a whopping 65% of registered voters under the age of 45 reporting they are familiar with AI tech, such as ChatGPT.

This document describes the architecture and algorithms of a high fidelity fixed wing flight simulator intended to test and validate novel guidance, navigation, and control (GNC) algorithms for autonomous aircraft. It aims to replicate the influence of as many factors as possible on the aircraft performances, the Earth model, the physics of flight and the associated equations of motion, and in particular the behavior of the onboard sensors, limiting the assumptions to the bare minimum, and including multiple relatively minor effects not usually considered in simulation that may play a role in the GNC algorithms not performing as intended. The author releases the flight simulator C ++ implementation as open-source software. The simulator modular design enables the replacement of the standard GNC algorithms with the objective of evaluating their performances when subject to specific missions and meteorological conditions (atmospheric properties, wind field, air turbulence). The testing and evaluation is performed by means of Monte Carlo simulations, as most simulation modules (such as the aircraft mission, the meteorological conditions, the errors introduced by the sensors, and the initial conditions) are defined stochastically and hence vary in a pseudo-random way from one execution to the next according to certain user-defined input parameters, ensuring that the results are valid for a wide range of conditions. In addition to modeling the outputs of all sensors usually present onboard a fixed wing platform, such as accelerometers, gyroscopes, magnetometers, Pitot tube, air vanes, and a Global Navigation Satellite System (GNCC) receiver, the simulator is also capable of generating realistic images of the Earth surface that resemble what an onboard camera would record if following the resulting trajectory, enabling the use and evaluation of visual and visual inertial navigation systems.

Graph neural networks (GNNs) have shown promise in learning unstructured mesh-based simulations of physical systems, including fluid dynamics. In tandem, geometric deep learning principles have informed the development of equivariant architectures respecting underlying physical symmetries. However, the effect of rotational equivariance in modeling fluids remains unclear. We build a multi-scale equivariant GNN to forecast fluid flow and study the effect of modeling invariant and non-invariant representations of the flow state. We evaluate the model performance of several equivariant and non-equivariant architectures on predicting the evolution of two fluid flows, flow around a cylinder and buoyancy-driven shear flow, to understand the effect of equivariance and invariance on data-driven modeling approaches. Our results show that modeling invariant quantities produces more accurate long-term predictions and that these invariant quantities may be learned from the velocity field using a data-driven encoder.

The protection of non-combatants in times of (fully) autonomous warfare raises the question of the timeliness of the international protective emblem. Incidents in the recent past indicate that it is becoming necessary to transfer the protective emblem to other dimensions of transmission and representation. (Fully) Autonomous weapon systems are often launched from a great distance to the aiming point and there may be no possibility for the operators to notice protective emblems at the point of impact. In this case, the weapon system would have to detect such protective emblems and, if necessary, disintegrate autonomously or request an abort via human-in-the-loop. In our paper, we suggest ways in which a cross-frequency protective emblem can be designed. On the one hand, the technical deployment, e.g. in the form of RADAR beacons, is considered, as well as the interpretation by methods of machine learning. With regard to the technical deployment, possibilities are considered to address different sensors and to send signals out as resiliently as possible. When considering different signals, approaches are considered as to how software can recognise the protective emblems under the influence of various boundary conditions and react to them accordingly. In particular, a distinction is made here between the recognition of actively emitted signals and passive protective signals, e.g. the recognition of wounded or surrendering persons via drone-based electro-optical and thermal cameras. Finally, methods of distribution are considered, including encryption and authentication of the received signal, and ethical aspects of possible misuse are examined.