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All nonwhites were systematically classified into various groups and subgroups. Then white rule used that animosity to divide and conquer. Long before apartheid existed these tribal factions clashed and warred with one another. ![]() You separate people into groups and make them hate one another so you can run them all.Īt the time, black South Africans outnumbered white South Africans nearly five to one, yet we were divided into different tribes with different languages: Zulu, Xhosa, Tswana, Sotho, Venda, Ndebele, Tsonga, Pedi, and more. 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However, one of the challenges is that neither YOLO nor the SSD can achieve sufficiently high detection accuracy in complex scenes with noisy background images. These models perform well regarding the speed of detection in real-life scenarios. Currently, models such as You Only Look Once (YOLO) and the single-shot detector (SSD) are the most popular DL-based object detectors introduced by Redmon et al. Generally, object detection is described as a collection of related computer vision tasks that involve identifying objects in the given image. However, object detectors for automated material synthesis systems have yet to be reported, and we aim to develop a high-performance detector that is suitable for identifying the error positions of transparent chemical vessels for safety purposes in the present study. Computer vision has been widely used in object segmentation and detection 24, 25, 26, 27, 28 in industries such as autonomous vehicles 29, 30, disease diagnosis 31, and rehabilitation 32. In this regard, detecting the movements of transparent chemical vessels is considered an important task for improving safety in automated chemical synthesis, and deep learning (DL)-based computer vision can play a vital role here. Some features in the robotic arm such as pressure sensing and control can help reduce the failure cases, however, do not fully eliminate them because undesired external variations can possibly occur unexpectedly. If these vessels are incorrectly placed, any subsequent actions, such as solution stirring, may lead to undesired dangers. ![]() To democratize automation in material synthesis laboratories, safety-related issues such as machine control errors need to be addressed.Īutomated material synthesis for bath processes, especially wet chemical-based synthesis, inevitably involves frequent movements of transparent chemical vessels such as flasks 15, 16, 17, 18, beakers 19, 20, 21, and vials 22, 23. Any accidents would cause significant losses of life and property and result in some causalities in severe cases. Although automation can substantially increase developmental efficiency, it is often accompanied by severe dangers in situations where corrosive or inflammable chemicals are handled without human surveillance. Recent works involved the synthesis of a wide range of materials, such as organic/polymer materials 3, 4, 5, 6, 7, 8, 9, quantum dots 10, 11, 12, 13, and nanoparticles 14. Similar content being viewed by othersĪutomated material synthesis based on robotics and artificial intelligence has facilitated the material development process 1, 2. Furthermore, the exceptional detection accuracy of DenseSSD opens up possibilities for its application in various other fields and scenarios where precise object detection is paramount. ![]() This study conclusively demonstrates the significant utility of DenseSSD in enhancing safety within automated material synthesis environments. Such robustness of DenseSSD supports that it can universally be implemented in diverse laboratory settings. Additionally, DenseSSD was observed to be generalizable to other laboratory environments, maintaining its high precisions under the variations of solution colors, camera view angles, background scenes, experiment hardware and type of chemical vessels. ![]() For the foremost and frequent problem of detecting positions of transparent chemical vessels, DenseSSD achieved a mean average precision (mAP) over 95% based on a complex dataset involving both empty and solution-filled vials, greatly exceeding those of conventional detectors such high precision is critical to minimizing failure-induced accidents. With the aim of improving safety in a surveillance-free laboratory, we report a deep learning (DL)-based object detector, namely, DenseSSD. Object detection techniques can play vital roles in addressing these safety issues however, existing detection models still suffer from insufficient accuracy in environments involving complex and noisy scenes. 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Uber revealed that it believes the hacker or hackers to be associated with a group known as Lapsus$ which has carried out similar attacks on companies like Nvidia, Microsoft, and Samsung. Department of Justice to investigate the recent data breaches, and mentioned that their hacker was suspected to be involved in the Rockstar hack too. Uber released a blog that revealed it was working with the FBI and the U.S. Given the extensive nature of the hacks and also that the reported victims aren’t one but two major companies, the FBI has gotten involved in an investigation over the hacks. Work on the next Grand Theft Auto game would also “continue as planned.” The FBI Are Involved Rockstar also reassured fans that despite the extensive leaks the studio did not anticipate any disruption or “long-term effect on the development” of its ongoing projects. “We recently suffered a network intrusion in which an unauthorized third party illegally accessed and downloaded confidential information from our systems, including early development footage for the next Grand Theft Auto.”Ī Message from Rockstar Games /T4Wztu8RW8 In a surprising move, Rockstar confirmed the veracity of the hack, which until then was still being touted by some as a very elaborate hoax. ![]() The original GTAForums thread was later reinstated, albeit locked for new comments, and with all links to stolen material removed. Messages on both sites explained that they were complying with requests from Take-Two to remove any and all copyrighted material. The next day, both GTAForums and the GTA 6 subreddit removed threads featuring the leaked content. As reported by VGC, takedown requests appeared to come from individuals with Rockstar email addresses, all but confirming that the leaks were legitimate. Later that same day, leaked videos on multiple platforms were removed at the request of Take-Two Interactive. The hacker also shared what looks to be various GTA 6 assets, and code from the game. “Here are 90 footage/clips from GTA 6,” they wrote. The leak was from a user named “teapotuberhacker” who also claimed to be the same person who hacked the ride-hailing app Uber earlier this month. The clips also seemingly confirmed some rumors about GTA 6 that were already spreading online, such as the existence of male and female protagonists. Various clips, with unfinished assets, showed off several elements of the game in development including parts of the world, gunplay, and NPC AI. The leaks quickly spread to other social media sites like Twitter and YouTube. On September 18, it became an unexpected home to leaked assets from the still-in-development Grand Theft Auto 6. GTAForums is one of the most popular online discussion boards to talk about all things Grand Theft Auto. The Leaks Begin: ‘Here are 90 Footage/clips From GTA 6’ Rockstar parent company Take-Two Interactive and its CEO Strauss Zelnick followed up by saying more of GTA 6 would be shared on “Rockstar’s schedule.” However, with the announcement coming from a press release with no additional materials, it seemed that GTA 6 was still early in development. While undoubtedly still popular, continuing to hype a decade-old game was wearing thin for some fans and the announcement of the next GTA game felt long overdue. ![]() ![]() “We look forward to sharing more as soon as we are ready, so please stay tuned to the Rockstar Newswire for official details.”īefore the announcement, Rockstar mainly discussed the ongoing success of Grand Theft Auto 5 and GTA Online, both of which were receiving next-gen updates. “e are pleased to confirm that active development for the next entry in the Grand Theft Auto series is well underway,” Rockstar wrote earlier this year. Rockstar officially announced the next Grand Theft Auto game on February 4, 2022, in a press release. We'll update this story with new developments. |
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