Tesla’s Full Self-Driving (FSD) service has intercepted some flak in a targeted advertisement aired during Super Bowl LVII.\nThe ad played during the big game, but only in select state capital cities, as well as Washington DC.\nOver on the Tesla site, prospective buyers can read up on the Full Self-Driving subscriptions.\nIt calls for more explicit detailing in the abilities and limitations of these systems, likely putting “Full Self-Driving” on the short list of rebranding.\nIn a recent filing with the Securities and Exchange Commission, Tesla did note that the US Justice Department has requested documents related to the Autopilot and FSD features.
"}}}},{"node":{"postTitle":"Cell quantification in digital contrast microscopy images with convolutional neural networks algorithm","slug":"cell-quantification-in-digital-contrast-microscopy-images-with-convolutional-neural-networks-algorithm","publishDate":"None","createdLocal":"2023-02-15 14:30:50.030573","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Possible applications of this microscopy include evaluations of cell morphology, cell death, nuclear morphology, internalization of membrane proteins and others2.\nWorking with microscopy images also requires the management and interpretation of terabyte scale data of images generated by analysis algorithms, which requires increasingly robust and sophisticated solutions.\nDigital phase contrast/brightfield image processingThe Highyield digital contrast experiments are more demanding than fluorescence image processing, presenting several difficulties.\nFull size imageConvolutional neural networkThe use of a Convolutional Neural Network (CNN) has performance advantages in some ML problems.\nThis paper aims to evaluate the accuracy of predictive models from ML algorithms in the task of identifying the number of cells present in digital contrast microscopy images.
"}}}},{"node":{"postTitle":"M1 Abrams Tank Tested With Artificial Intelligence Targeting System","slug":"m1-abrams-tank-tested-with-artificial-intelligence-targeting-system","publishDate":"2023-02-14 21:24:28+00:00","createdLocal":"2023-02-15 14:30:47.967866","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"New images have emerged of a U.S. Army M1 Abrams tank sporting an experimental artificial intelligence (AI)-driven target recognition system designed to speed up how fast threats can be spotted and engaged.\nA close-up view of the ATLAS sensor turret.\nThese would seem to be rigged up as part of the Instrumentable-Multiple Integrated Laser Engagement System Combat Vehicle Tactical Engagement Simulation System (I-MILES CVTESS) for the exercise, and are therefore not connected to the ATLAS system.\nU.S. ArmyThen, in October 2020, the ATLAS system was demonstrated by the Army on a General Dynamics Land Systems Griffin I testbed vehicle.\nAided Target Recognition (AiTR) sensor and ALAS-MC auto-loading cannon demonstrated by the U.S. Army in 2020.
"}}}},{"node":{"postTitle":"Flexible Sensor for Robotic Sensing and Health Monitoring","slug":"flexible-sensor-for-robotic-sensing-and-health-monitoring","publishDate":"None","createdLocal":"2023-02-15 14:30:47.450158","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"(Image: National University of Singapore)Real-time health monitoring and sensing abilities of robots require soft electronics but a challenge of using such materials lies in their reliability.\nGuided by the theory of contact mechanics, a team of researchers developed a sensor material that has significantly less hysteresis.\nThis ability enables more accurate wearable health technology and robotic sensing.\nThe soft sensor’s material properties can change in between repeated touches, which affects the reliability of the data.\nThey conducted repeated mechanical testing and verified that their design improved sensor performance.
"}}}},{"node":{"postTitle":"Geekbench 6 interview: It's a big improvement over its predecessor","slug":"geekbench-6-interview-it-s-a-big-improvement-over-its-predecessor","publishDate":"2023-02-14 15:00:58+00:00","createdLocal":"2023-02-15 14:30:46.369046","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"We now have a background blur workload, which wasn't relevant three or four years ago.\nRobert Triggs / Android AuthorityA: We had ML (machine learning) benchmarks in Geekbench 5, and we now have new ML benchmarks in Geekbench 6.\nMaking the data sets bigger and the workloads more relevant and realistic was the big push with Geekbench 6.\nSo workloads that were already in Geekbench 5 but are now working on larger data sets in Geekbench 6.\nQ: The scores from Geekbench 6 can’t be compared to the scores from Geekbench 5 since it’s a completely different benchmark.
"}}}},{"node":{"postTitle":"PawnTrust to Exhibit at the Pawn Expo 2023","slug":"pawntrust-to-exhibit-at-the-pawn-expo-2023","publishDate":"None","createdLocal":"2023-02-15 14:30:45.869644","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"PRESS RELEASE Published February 14, 2023 ACCESSWIREATLANTA, GA / ACCESSWIRE / February 14, 2023 / Dinewise, Inc (OTC PINK:DWIS)(referred to as \"Dinewise\", \"we\", \"us\", \"our\" or the \"Company\")the only online marketplace segmented for Pawn Shops will attend the Pawn Expo 2023.\nThe Pawn Expo is the largest trade show for Pawn Shop owners in the United States.\nThe Expo gives Pawn Shop owners a chance to meet and greet with pawn professionals who are driving and influencing modern pawn brokering.\nPawnTrust has established Pawn Partners; which are local Pawn Shops, in which inventory is extrapolated into the PawnTrust Marketplace.\nThis allows the Pawn Shops to immediately and seamlessly have their inventory displayed around the world.
"}}}},{"node":{"postTitle":"Bot the builder: Is viral sensation ChatGPT game-changer or gimmick?","slug":"bot-the-builder-is-viral-sensation-chatgpt-game-changer-or-gimmick","publishDate":"None","createdLocal":"2023-02-15 14:30:44.630686","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"It is often said that the technological advancements of our age are rapidly outpacing our understanding of the world.\nThe viral sensation is not even at its best yet; a shrewder version is set to be launched next year.\nThe prompt for this article opener was to “write a compelling introduction to ChatGPT in the style of cult author Haruki Murakami”.\nWill the same fate befall the employees behind Chinese internet giant Baidu, which is planning to launch an AI-powered chatbot similar to ChatGPT in March?\nWill it finally be able to tell the difference between kampong and kampung, the latter being the actual spelling used in Malaysia?
"}}}},{"node":{"postTitle":"ASI Mining goes commercial with autonomous haulage system","slug":"asi-mining-goes-commercial-with-autonomous-haulage-system","publishDate":"2023-02-14 00:00:00","createdLocal":"2023-02-15 14:30:44.316028","feedName":"Autonomous Trucks","postSummary":{"childMarkdownRemark":{"html":"In conjunction with the recent announcement from Roy Hill on its planned expansion of autonomous haul trucks using ASI Mining’s Mobius based autonomous haulage system (AHS) combined with Epiroc support, ASI Mining is announcing full commercialisation of its AHS program.\nThe Product Verification Phase at Roy Hill included the operation of a mixed fleet of CAT 793F and Hitachi EH-5000 haul trucks operating under ASI Mining’s Mobius traffic management system (TMS).\nFull integration with Wenco, the fleet management system (FMS) used by Roy Hill, is also underway as part of ASI Mining’s interoperability with fleet management systems.\nSupport of ASI Mining’s AHS globally will be through Epiroc’s distribution network, such as the one based in Perth Australia, supporting the Roy Hill deployment.\nWhile Mobius supports AHS operations, it is an autonomous mining platform supporting other applications such as Mobius for Blasting, Mobius for Drills, Mobius for Dozers, etc.
"}}}}]}},"pageContext":{"limit":8,"skip":5880,"homeNumPages":1077,"currentPage":736}}}