UBS Group AG’s decision last month to completely integrate Credit Suisse’s domestic business brings with it a task

xQc seemed to forget basic physics as he had a bizarre reaction while playing an early release version of 'Lies of P'

Police across the US have sent out privacy warnings over a new iPhone feature added in the latest Apple update. But the tool – called NameDrop – is a simple way of sharing personal information with consent, and includes a number of protections to ensure that data is not stolen. In a host of warnings from law enforcement, shared largely across Facebook, police departments warn about a possible “privacy” concern from the NameDrop feature, which arrived in iOS 17. The warning was shared by a range of different law enforcement authorities on Facebook, right across the country. It appears to have caught on over the Thanksgiving weekend. It notes that the feature defaults to being on, which is true. But it also suggests that “many people do not check their settings and realise how their phone works” and suggest there is something dangerous about the fact that you can “share your contact information by being next to another iPhone”. As such, it warns that people should turn the feature off by default and do the same for their children. It is true that the feature allows two devices to share contact information when they are next to each other. But they must be right next to each other, rather than simply close – and that is just one of a range of protections built into the feature. Chief among them is that users must specifically unlock their phone and also explicitly opt in to share their data with anyone, rather than it being able to send information on its own. NameDrop was introduced earlier this summer, as part of a number of changes to the way that contacts and sharing work in iOS 17. It is intended to make it easy to quickly share details with someone just by putting your phones near each other, and in so doing avoid having to read out numbers or other more complicated processes. It is used by simply placing two iPhones, two Apple Watches or a combination of the two together. If the devices are unlocked, and then placed within a few centimetres of each other, they will vibrate and glow to the show that the connection is happening. Users are then given the option of what contact information they want to share, as well as what they want to leave out. That gives the option to share only a work number, for instance, or only an email address – or one user can opt out of sharing any data at all, and just receive it. Users then click again to share their details. It can also be cancelled at any time by just swiping from the bottom of the display. NameDrop can be turned off relatively easily if there any concern. That is done by opening the Settings app, clicking on “General” then “AirDrop” and choose the “Start Sharing By” option, where you can turn off the setting to do so by “Bringing Devices Together”. Read More Why Apple is working hard to break into its own iPhones Disney, Apple suspend ads on Musk’s X after he agrees with antisemitic tweet Apple to adopt system to improve texting between iPhones and Android devices

Japan's busiest shipping port said Thursday it would resume operations after a ransomware attack prevented the port from receiving shipping containers for two days.

SYDNEY & SAN FRANCISCO--(BUSINESS WIRE)--Sep 13, 2023--

The amount of time people spent watching cable and broadcast channels has fallen for the first time to

Economists expect to see a gain of 200,000 nonfarm payrolls in the Labor Department's July jobs report coming out Friday, following a 209,000 increase in June.

You could be forgiven for thinking humans are helpless against extreme heat. All over the world, record high

An artificial intelligence system has achieved a key milestone by winning multiple races against three world-class drone-racing champions, marking the first time AI has beat humans at a physical sport. The AI system called Swift, developed by researchers from the University of Zurich in Germany and Intel, could prove its mettle in first-person view (FPV) drone racing – a sport in which pilots fly quadcopters at speeds exceeding 100kmph. Until now AI systems have achieved a number of remarkable victories over humans in a range of strategy-based games, including IBM’s Deep Blue winning at chess against Gary Kasparov in 1996 and Google’s AlphaGo defeating top Go champion Lee Sedol in 2016. However, physical sports are more challenging for AI as they are less predictable than board or video games. “We don’t have a perfect knowledge of the drone and environment models, so the AI needs to learn them by interacting with the physical world,” Davide Scaramuzza, one of the authors of the study from the University of Zurich, explained. AI-driven autonomous drones have until now taken twice as long as those piloted by humans to fly through racetracks unless an external position-tracking system was used to precisely control their trajectories. But the new Swift AI drone, described in a new study in the journal Nature, has demonstrated that it can react in real-time to the data collected by an onboard camera, just like the one used by human racers in the sport. Sensors on the drone measure acceleration and speed while the AI system uses data from the camera to locate the drone in space and detect the gates along the racetrack. A control unit in the drone, also based on AI, a control unit, then chooses the best action to finish the race circuit as fast as possible. Researchers say the Swift drone trained itself to fly in a simulated environment by trial and error. Using simulations, scientists could avoid destroying multiple drones in the early stages of learning when the system often crashes. “To make sure that the consequences of actions in the simulator were as close as possible to the ones in the real world, we designed a method to optimise the simulator with real data,” study first author Elia Kaufmann said. During the testing phase, the drone flew autonomously using very precise positions provided by an external position-tracking system, while also recording data from its camera. By comparing the two data sets, Swift could learn to autocorrect errors it made in interpreting information from the onboard sensors, scientists say. The AI was soon ready to challenge some of the world’s top human drone pilots – the 2019 Drone Racing League champion Alex Vanover, the 2019 MultiGP Drone Racing champion Thomas Bitmatta, and three-time Swiss champion Marvin Schaepper. In races that took place between 5 and 13 June 2022, on a special track designed in a hangar of the Dübendorf Airport near Zurich, Swift achieved the fastest lap, with a half-second lead over the best lap by a human pilot. The special track – about 25 by 25 meters in dimension – was built with seven square gates that had to be passed in the right order to complete a lap. Drones had to execute challenging maneuvers to successfully finish the track, including an acrobatic “Split-S” feature that involves half-rolling the drone and executing a descending half-loop at full speed. While Swift could record the fastest lap, humans are more adaptable than the AI drone, which failed when the conditions were different from what it was trained for, scientists say. However, they add that the new breakthrough in AI flight is an important way beyond drone racing. “Drones have a limited battery capacity; they need most of their energy just to stay airborne. Thus, by flying faster we increase their utility,” Dr Scaramuzza said. The new research, according to scientists, may lead to better drones for forest monitoring or space exploration, and in cases where flying fast is important to cover large spaces in a limited time. They say fast AI drones could also be used for shooting action scenes in movies and may also “make a huge difference” for rescue drones sent inside a burning building. Read More Ukraine launches ‘massive’ drone strikes on six regions of Russia – destroying war planes Ukraine-Russia war live: Kyiv’s huge drone attack as Putin floods frontline with ‘poorly trained troops’ To stop wildfires, residents in some Greek suburbs put their own money toward early warning drones Google launches AI to go to meetings for you Behind the AI boom, the armies of overseas workers in ‘digital sweatshops’ Nvidia sales hit record high as AI chip demand soars

Here's everything we know about Bluey: The Video Game's story.

The dictionary defines "testy" as easily annoyed or bad-tempered. But maybe it should refer to

DUBAI, United Arab Emirates--(BUSINESS WIRE)--Aug 2, 2023--