On the surface, Ford Motor Co. would seem an unlikely party to be on the receiving end of

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The truth is out there, but you may have to search every corner of the image before solving the puzzle.

Twitter Circles might not be around much longer. In a late Friday tweet, Elon Musk

SAN DIEGO--(BUSINESS WIRE)--Sep 6, 2023--

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

The company behind an industrial park in central Indonesia that is becoming a nickel production powerhouse says it

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The human body is a marvel of science and researchers have discovered a strange reoccurring mathematical pattern within its cells. Our bodies are made up of a massive variety of individual cells with countless different functions, from neurons in our nervous system to the oxygen carriers that all work in harmony to keep us alive. Experts from scientific research institutions in Germany, Canada, Spain, and the US have worked together on a study to determine just how many cells of each type there are in the human body and the results are staggering. They found that most adult males possess around 36 trillion cells, while adult females have in the region of 28 trillion cells. For a 10-year-old child, they have around 17 trillion. Interestingly though, scientists discovered that, regardless of the total number of cells, if they are grouped according to their function, the proportions for each individual remain the same. The researchers explained in their findings: “These patterns are suggestive of a whole-organism trade-off between cell size and count and imply the existence of cell-size homeostasis across cell types.” Scientists believe there is a natural balancing act at play between different cell types with new cells being produced to maintain the balance. The body produces fewer larger cells (such as muscle fibres) and more smaller cells (like blood cells). It is hoped that future studies will be able to uncover exactly how this happens and how bodies seem to naturally regulate cells. They explained that all cells are perfectly sized for their roles and any deviation from their scale can indicate the presence of disease. Experts have made their data, analysis and results public in the hopes that future studies into biology will be able to utilise their research. Sign up to our free Indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

Direct messaging is reportedly coming to Threads soon as the Twitter rival app’s user base grows to nearly one-tenth of the Elon Musk-owned platform. A leaked internal report from Meta suggests DMs will be “coming soon” to Instagram’s Threads, along with other exciting features, Business Insider reported. Initially, Instagram’s chief Adam Mosseri had said DMs are not in Threads’ immediate roadmap, but the new leaked memo suggests the Twitter competitor could offer the messaging feature much sooner than expected. This expected update to the platform comes as Threads now has over 100 million user sign ups just within days of its arrival, boasting a weekly active user base that is nearly one-fifth of competitor Twitter’s. Within just its first week of launch, Threads racked up about 93 million active users globally and on 10 July, Meta announced that the app had reached 100 million signups. The app now has more than 150 million downloads, reaching this milestone “5.5 times more quickly than the second-fastest app to do so”, according to the app intelligence firm data.ai. Niantic’s Pokémon GO held the top spot as the most rapidly downloaded app for years since its debut in July 2016. Among Threads’ userbase, data.ai’s report suggested India accounts for nearly a third of the app’s downloads, followed by Brazil, with 22 per cent of overall Threads’ installs, and the US representing about 16 per cent of the total. Now, with the anticipated inclusion of a direct messaging feature, people on Threads can stay longer and chat privately without having to leave the app. Other features such as improved search, trends and topics are also reportedly coming soon, along with a feed in chronological order. It is unclear when these new updates will come. The new changes could put more pressure on Twitter and its owner Elon Musk, who said the platform continues to lose cash as advertising has dropped by half. “We’re still negative cash flow, due to (about a) 50 per cent drop in advertising revenue plus heavy debt load,” Mr Musk tweeted on Saturday. “Need to reach positive cash flow before we have the luxury of anything else,” he said. Read More $44 billion and eight months later. It’s finally all over for Elon Musk Twitter changed my life – I’ll never forgive Elon Musk for what he’s done to it Twitter is in negative cash flow due to 50% drop in advertising revenue, says Elon Musk Twitter in negative cash flow due to 50% drop in advertising revenue, says Elon Musk Twitter starts making payments to its most controversial users Elon Musk posts series of explicit tweets about Mark Zuckerberg

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BOSTON--(BUSINESS WIRE)--Jun 6, 2023--