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https://www.gadgets360.com/mobiles/news/oneplus-ace-3-specifications-leak-chipset-battery-expected-4429522 OnePlus Ace 3 is expected to launch soon in China as the successor to the OnePlus Ace 2 handset that was launched earlier this year. The phone could make its debut around the same time as the OnePlus 12 5G that is expected to arrive in January 2024. The OnePlus Ace 2, which was released earlier this year in February with a Qualcomm Snapdragon 8+ Gen 1 SoC and a 5,000mAh battery with 100W wired fast charging support. Details about the OnePlus Ace 3 have recently surfaced online. Now a new leak hints at key features of the upcoming phone including its camera, chipset and battery details. Tipster Digital Chat Station (translated from Chinese) stated in a Weibo post that the purported OnePlus Ace 3 is expected to feature a metallic body. The leaker also claims that that the phone will be equipped with a telephoto camera with a Sony IMX709 sensor that supports 2x optical zoom. According to the leak, the handset will be powered by a 4nm Qualcomm Snapdragon 8 Gen 2 SoC. The post also states that the phone will be backed by a 5,500mAh battery with 100W wired charging support. Previous leaks have suggested that the OnePlus Ace 3 will sport a 6.7-inch 1.5K AMOLED display with a 120Hz refresh rate. It is expected to run on Android 14-based OxygenOS 14. For optics, the handset is expected to feature a 50-megapixel primary sensor with support for optical image stabilisation (OIS), an 8-megapixel ultra wide-angle sensor, a 32-megapixel telephoto camera at the back. It is also said to be equipped with a 16-megapixel sensor in the front. It's predecessor, the OnePlus Ace 2, features a 6.74-inch FHD+ curved AMOLED display, and is equipped with a triple rear camera setup including a 50-megapixel Sony IMX890 primary sensor, an 8-megapixel sensor with an ultra-wide-angle lens, along with a 2-megapixel macro camera. It also has a 16-megapixel front camera sensor. OnePlus Nord 3 brings some serious upgrades over its predecessor, including some flagship-grade specifications. We discuss this and more on the latest episode of Orbital, the Gadgets 360 podcast. Orbital is available on Spotify, Gaana, JioSaavn, Google Podcasts, Apple Podcasts, Amazon Music and wherever you get your podcasts.

https://www.tomshardware.com/news/intels-upcoming-core-i7-14700kf-nearly-hits-6-ghz-in-new-benchmark Intel's upcoming Raptor Lake Refresh Core i7-14700KF CPU has been spotted on Geekbench by @BenchLeaks on X (Twitter), hitting clock speeds of nearly 6 GHz. The chip's performance in Geekbench is significantly faster than that of its predecessor, with a score roughly the same as Intel's flagship Core i9-13900KS. In the single- and multi-core benchmarks of Geekbench 6, the Core i7-14700KF scored 3092 points and 21713 points, respectively, making it 9% quicker than the Core i7-13700K in the single-core benchmark and 18% quicker in the multi-core benchmark. The Core i7-14700K's score in the multi-core test is close to that of the Core i9-13900KS, with just a 2.4% performance margin between the two. But the Core i9-13900KS still has the upper hand in the single-core test, where it's 9% faster (likely due to the memory differences between i7 and i9 chips). The highlight is the Core i7-14700K's clock speed, which reportedly reached a maximum frequency of 5.985 GHz during the test. The extremely high clock speed matches that of the Core i9-13900KS, which is the only Intel CPU to date that packs a turbo frequency of 6 GHz without the aid of overclocking. The fact that we're seeing nearly 6 GHz on the Core i7-14700K/KF suggests that Intel had more headroom in its Raptor Lake Refresh than originally expected. Previous reports estimated the minor architectural refresh would peak at 6 GHz at most — including the Core i9-14900K, meaning the Core i7-14700K/KF was expected to clock a lot lower to prevent internal competition between the two chips. The Core i7-14700K's reported clock speed suggests we could see speeds well above 6 GHz on the Core i9-14900K/KF/KS. Even the Core i5-14600K might be able to achieve 6 GHz with overclocking. MSI was recently spotted making 6.3GHz overclocking profiles in its motherboard BIOS for the Raptor Lake Refresh, providing even more evidence that we can expect the chips to break the 6 GHz barrier. Having additional frequency headroom would be very useful for Intel's upcoming 14th Gen Raptor Lake Refresh parts, which are reportedly getting a price hike over Raptor Lake. Intel's new parts will need to be noticeably quicker if it wants its 14th-gen chips to entice buyers.

https://techxplore.com/news/2023-09-stock-brain-scans-harmonizes-hundreds.html Complexity is all around us, from the daily fluctuations of financial markets to the intricate web of neurons in our brains. Understanding how the different components of these systems interact with each other is a fundamental challenge for scientists trying to predict their behavior. Piecing together these interactions is like deciphering a code from an intricate set of clues. Scientists have developed hundreds of different methods for doing this, from engineers studying noisy radio channels to neuroscientists studying firing patterns in networks of interacting neurons. Each method captures a unique aspect of the interactions within a complex system—but how do we know which method is right for any given system sitting right in front of us? In new research published in Nature Computational Science, we have developed a unified way to look at hundreds of different methods for measuring interaction patterns in complex systems—and working out which ones are most useful for understanding a given system. A scientific orchestra The science of complex systems can be, well, complex. And the science of comparing and combining different ways of studying these systems even more so. But one way to think about what we've done is to imagine each scientific method is a different musical instrument playing in a scientific orchestra. Different instruments are playing different melodies with different tones and in different styles. We wanted to understand which of our scientific instruments are best suited to solving which types of problems. We also wanted to know whether we could conduct all of the instruments to form a harmonious whole. By presenting these methods as a full orchestra for the first time, we hoped we would find new ways of deciphering patterns in the world around us. Hundreds of methods, more than 1,000 datasets To develop our orchestra, we undertook the mammoth task of analyzing more than 200 methods for computing interactions from as many datasets as we could get our hands on. These covered a huge range of subjects, from stock markets and climate to brain activity and earthquakes to river flow and heart beats. In total, we applied our 237 methods to more than 1,000 datasets. By analyzing how these methods behave when applied to such diverse scientific systems, we found a way for them to "play in harmony" for the first time. In the same way that instruments in an orchestra are usually organized as strings, brass, woodwind and percussion, scientific methods from areas like engineering, statistics and biophysics also have their traditional groupings. But when we organized our scientific orchestra, we found that the scientific instruments grouped together in a strikingly different way to this traditional organization. Some very different methods behaved in surprisingly similar ways to one another. This was a bit like discovering that the tuba player's melody was surprisingly similar to that of the flute, but no one had noticed it before. Our weird and wonderful new orchestral layout (which sometimes places cello and trumpet players next to the piccolo player), represents a more "natural" way of grouping methods from all across science. This opens exciting new avenues for cross-disciplinary research. The orchestra in the real world We also put our full scientific orchestra to work on some real-world problems to see how it would work. One of these problems was using motion data from a smartwatch to classify activities like "badminton playing" and "running"; another was distinguishing different activities from brain-scan data. Properly orchestrated, the full ensemble of scientific methods demonstrated improved performance over any single method on its own. To put it another way, virtuosic solos are not always the best approach! You can get better results when different scientific methods work cooperatively as an ensemble. The scientific ensemble introduced in this work provides a deeper understanding of the interacting systems that shape our complex world. And its implications are widespread—from understanding how brain communication patterns break down in disease, to developing improved detection algorithms for smartwatch sensor data. Time will tell what new music scientists will make as they step up to conduct our new scientific orchestra that simultaneously incorporates diverse ways of thinking about the world.

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https://www.gadgets360.com/mobiles/news/iphone-15-pro-vs-iphone-14-pro-drop-test-video-2023-apple-4417282 iPhone 15 Pro and last year's iPhone 14 Pro have been pitted against each other in a new drop test that measures how durable Apple's premium devices are. The drop test video shared by YouTuber Sam Kohl shows that the iPhone 14 Pro was able to better withstand the drop test than the latest iPhone 15 Pro. The latest iPhone's black glass shattered at the fifth drop whereas the iPhone 14 Pro stayed almost in perfect condition until the final drop. This year's iPhone 15 Pro has rounded titanium edges replacing its predecessor's stainless steel material. Read on to find out how the iPhone 15 Pro and its predecessor performed in the drop tests. AppleTrack's Sam Kohl has released a 13-minute video on YouTube that covers drop tests in multiple rounds to rigorously examine how well the iPhone 14 Pro and iPhone 15 Pro sustain drops from different heights. The YouTuber threw two phones from the waist height initially and they turned out alright without any notable scratches. The iPhone 15 Pro got cracks at the rear panel at the fifth drop and the rear camera panel started showing dings and scratches at level six. However, the iPhone 14 Pro did not take any damage even in the sixth drop. The video highlights that rounded titanium edges cannot resist the shattering of the latest device. The back and edge of the iPhone 15 are seen as more prone to damage than that of the iPhone 14 Pro. It could be due to the fact that the iPhone 14 Pro has a stainless steel frame, whereas the new device comes with a new titanium covering. Successive drops caused increasing degrees of damage to the back panel and edges of the iPhone 15 Pro. In fact, its bottom display malfunctioned and became unusable at the 13th drop when it was thrown from a height of about 15 feet. The iPhone 14 Pro held up well while being dropped on a concrete surface at this level with no visible cracks on the screen or rear glass. At the end of the drop test, the entire rear camera module of the Phone 15 Pro shattered and detached from the device's body in the 14th drop. The iPhone 14 Pro, on the other hand, remained functional even though it cracked fully at the front and back. Even after multiple drops the camera was working fine on the iPhone 14 Pro without any mere cracks on the camera island and its display was responding perfectly to touch inputs. The YouTuber notes that the iPhone 14 Pro survived way better than the iPhone 15 Pro. However, a drop test cannot decide whether a device is durable or not. The iPhone 15 Pro is currently up for sale in India and another 40 countries across the globe. As the new device reaches more hands in the coming days, users can analyse if the titanium construction is a better choice. The iPhone 15 Pro's price starts at Rs. 1,39,900 for the base 128GB storage model in India. It is currently up for sale in the country via Apple's online store, Apple BKC, Saket, e-commerce websites, and official retail outlets.

https://techxplore.com/news/2023-09-software-money-laundering-faster.html Researchers from the Department of Informatics have designed an entirely novel approach to detecting money laundering, based on algorithms which rapidly identify when criminals are dividing a large sum of money into multiple smaller transactions between many bank accounts—a technique known as "smurfing." The algorithms run on data taken from several bank accounts which are represented as nodes on a large, complex graph, and the software is programmed to focus on the part of the graph where it detects the most suspicious activity. For example, if there is a deposit of one million pounds, the software can monitor where this exact sum of money is being transferred—it has the ability to identify all combinations of related transactions that take place, even if the money is split between different accounts and outgoings. As detailed in a paper published in the Proceedings of the 2023 SIAM International Conference on Data Mining, lead researchers Dr. Huiping Chen and Dr. Grigorios Loukides, together with Dr. Robert Gwadera and Dr. Solon Pissis, say the new software is over three times more effective than current detection methods and can also analyze larger amounts of data. Current money laundering detection methods are rule-based or machine-learning (ML) based, which involve automated money laundering detection alarms set off by "suspicious" transaction scenarios like excessive cash deposits or process large sets of transaction histories to spot possible money-laundering activity along pre-set lines. These methods can be ineffective or slow to uncover instances of the crime, especially with the practice of smurfing. Both existing methods also require domain knowledge—for example, a bank must have successfully caught attacks in the past and used them to detect other attacks. If an organization does not have that data, which can be the case when dealing with novel or evolving money laundering methods, then that means reduced accuracy. Dr. Chen, a Ph.D. student at the Department of Informatics, said, "Money laundering presents a major global challenge. Developing a quicker and more effective approach to detecting this criminal activity signals a major step in the right direction to address the issue and provide reassurance for financial institutions." The United Nations Office on Drugs and Crime (UNODC) estimates that between 2% and 5% of global GDP is laundered each year, roughly between £632 billion and over £1.5 trillion. Dr. Loukides states, "We have developed an optimal method that can find the best possible solution for detecting common classifications of smurfing attacks across millions of amounts of data, on average 3.2 times more effectively than the state-of-the-art methods currently used. "Our tool is also more automated and enables a far more rapid analysis of the data than what's currently available. By allowing money laundering experts to survey vast amounts of data faster than ever before, we can empower them to pick up on actors with bad intent efficiently. "We are now working to improve the tool further, with the aim of delivering a quicker speed than conventional approaches but with even higher accuracy." The software for the new tool is open source and freely available to access. Because it can be used with much larger amounts of data than conventional detection methods, researchers say it can analyze large amounts of data over long periods of time, filtering out and sounding an alarm to indicate to the bank when it detects suspicious activity. The approach has been tested using real data from an anonymous Czech bank, and on fictional cases based on predictions of common patterns and activity present in cases of real money laundering. In both instances, the algorithms were able to detect all suspicious patterns in the transactions. Researchers say the new tool also has potential use beyond the detection of suspicious financial activity, as it could optimize marketing campaigns by enabling retailers to find and detect the most profitable bundles of products; improving the accuracy of retail data at speed.

https://www.tomshardware.com/news/cyberpunk-2077-20-update-doesnt-faze-the-steam-deck Fear not, Steam Deck owners! Cyberpunk 2077 is still playable despite the steeper system requirements associated with the new 2.0 update. German publication Computerbase has put the gaming handheld through its paces on the latest version of the game. The Cyberpunk 2077 2.0 update improves the base game with many significant enhancements. However, the embracement of Nvidia's DLSS 3.5 Ray Reconstruction technology is the belle of the ball, considerably making the game look even better than it already was. Rationally, the improvements have increased the system requirements to run the game. For example, an SSD is a must now, and CD Projekt Red advises consumers not to run Cyberpunk 2077 on a conventional hard drive or SD card in the case of the Steam Deck, as the lower bandwidth will likely hinder how the new content is streamed. The system requirements are higher, but they're still very much reasonable. Cyberpunk 2077 only commands a quad-core processor, 6GB of memory, 70GB SSD, and a somewhat modern graphics card with 6GB of memory as the minimum. The Steam Deck ticks all the boxes except for the graphics portion. As we already know, the custom AMD Zen 2 SoC (Aerith) inside the Steam Deck only has eight RDNA 2 compute units (CUs) up to 1.6 GHz at the chip's disposal. But it should be fine since the Steam Deck outputs games at a 1280x800 resolution, which isn't as taxing as 1080p (1920x1080). Valve's gaming handheld also taps AMD's FidelityFX Super Resolution 2 (FSR 2) technology to improve frame rates further. The Steam Deck, running on SteamOS 3.5 Preview, delivered an average frame rate around the 30 FPS mark at medium image settings and lower. The gaming handheld posted the best result at low settings with FSR on the balanced preset, achieving an average frame rate of 33.2 FPS and a 1% low of 25.4 FPS. Cyberpunk 2077 has a particular Steam Deck preset that balances performance and image fidelity. According to Computerbase's benchmarks, the Steam Deck preset attained average frame rates of 30.2 FPS and a 1% low of 22 FPS. The results are similar to using the medium preset with FSR on balanced. Computerbase subjectively claims that the medium preset looks better than the Steam Deck preset. Sadly, the high preset is out of reach for the Steam Deck. Even FSR can't rescue the gaming handheld from the taxing graphics. We're looking at 25.6 FPS and 19.2 FPS for average frame rates and 1% low, respectively, at high settings with FSR on balanced. CD Projekt Red puts a lot of effort into optimizing Cyberpunk 2077 for the different platforms. Contrary to the PC or current generation consoles, such as the PlayStation 5 or Xbox Series X, the Steam Deck, a gaming handheld, doesn't have the same amount of firepower. It's great that mobile gamers can still enjoy Cyberpunk 2077 at a reasonable image quality and performance. The Phantom Liberty DLC is another story, though, as the developer cautions that it'll push the processor to the max.

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https://www.bbc.com/news/uk-scotland-north-east-orkney-shetland-66843045 A cocker spaniel from Stonehaven has joined an exclusive group of canines who have reached the top of every Munro in Scotland. Six-year-old Glen and his owner George Creighton have climbed 282 Munros across the country. The pair completed the challenge, which they started in 2018, on Saturday after scaling their final peak, Ben More on Mull. George said having a canine companion made it a special achievement. He said: "I am so proud of Glen. It is an achievement for me too, but to do it with my dog, it truly has been such a special experience. George Creighton and Glen, the cocker spaniel "I certainly have mixed emotions. I am so glad we have managed to complete all 282 but at the same time, I'm sad it's over." Munros are Scottish peaks of more than 3,000ft (914m). The 70-year-old began scaling the mountains in his retirement, and was inspired by a guide to get a four-legged companion to join him on his adventures. "It has been a great activity for us both; for me to keep me fit, and for Glen, well it is always good to have company and what is better than an energetic spaniel," he said. Running up that hill: The Munro-bagging dogs Climber, 82, completes 282 mountain challenge Girl, 10, conquers all Munros in Scotland Over the past five years, George and Glen have taken on some of the more precarious summits, including scaling the famed inaccessible pinnacle in Skye's Cuillin mountain range. But for George it has brought about many smiles and laughter which he says he "wouldn't trade for the world". Glen, the cocker spaniel He continued: "Getting Glen was the best decision I have ever made. His energy is just terrific. He certainly keeps me on my toes. "Sometimes I take the bike with me to take some of the pressure off the legs, but Glen is off and away. "He has eased off a bit in his older age, and knows when we are up early, he has a big day ahead of him." When asked what lies in wait next for the duo, George joked: "Who knows, we might even take on Kilimanjaro one afternoon."