Nissan's investment in Ampere had been widely seen as a prerequisite for Renault's agreement to shed its stake in Nissan, analysts say.\nRenault initially took a 37 percent stake in Nissan in 1999 to rescue the Japanese carmaker from the brink of bankruptcy.\nThe Japanese automaker now expects a net profit of 340 billion yen, compared with its earlier projection of 315 billion yen.\nSales are forecast at 12.6 trillion yen, up from 12.4 trillion estimated earlier.\nFor the three months ended June, net profit more than doubled from the same quarter last year to 105.48 billion yen on sales of 2.92 trillion yen, up 36.5 percent.
"}}}},{"node":{"postTitle":"The ESRB offers a facial recognition system to determine the age of players • Mezha.Media","slug":"the-esrb-offers-a-facial-recognition-system-to-determine-the-age-of-players-mezha-media","publishDate":"2023-07-26 00:00:00","createdLocal":"2023-07-26 14:30:49.481781","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"The ESRB, the organization responsible for rating video games and entertainment software in the United States and Canada, has proposed to the Federal Trade Commission of the United States to implement technology to estimate the age of players using a facial age recognition system.\nThe system was developed in collaboration with the ESRB, Yoti, a digital identity company that is a “daughter” of Epic Games, and SuperAwesome.\nThe ESRB’s proposal states that such a system would accurately determine a person’s age and protect their privacy.\nRegarding security, especially the security of minors, the proposal states that once used for age determination, “images are immediately, permanently deleted, and not used by Yoti for training purposes.” The document states that facial age estimation poses no significant risk to parental privacy or potential user bias.\nSince 1994, the ESRB has assigned an age rating to all games released in the United States.
"}}}},{"node":{"postTitle":"Suspect in £1 million fraud stopped in Nottinghamshire by police after two year hunt","slug":"suspect-in-ps1-million-fraud-stopped-in-nottinghamshire-by-police-after-two-year-hunt","publishDate":"2023-07-26 08:35:49+00:00","createdLocal":"2023-07-26 14:30:48.643708","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Invalid email Something went wrong, please try again later.\nSomething went wrong, please try again later.\nA wanted fraud suspect has been found after being stopped by police officers in Mansfield.\nwas wanted in relation to a high-value fraud investigation.\nOfficers spoke to the driver and checks found he was wanted in relation to the £1 million fraud investigation.
"}}}},{"node":{"postTitle":"Federal aid is supercharging local WA police surveillance tech","slug":"federal-aid-is-supercharging-local-wa-police-surveillance-tech","publishDate":"None","createdLocal":"2023-07-26 14:30:47.801749","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Municipal police departments in Auburn, Bellevue, Kirkland and Redmond have been experimenting with facial recognition since at least 2016, according to emails published by the ACLU , but it’s unclear if those cities have continued to use facial recognition since then.\nCrosscut reached out to courts in King, Pierce and Spokane counties seeking copies of any warrants issued for “ongoing surveillance/persistent tracking” since the law was passed.\nLee said it allows for broad use of facial recognition to surveil crowds in public places, such as protests, and that there’s no penalty for flouting the transparency rules.\nIn her view, technologies like facial recognition exacerbate existing biased practices within police departments.\nStudies of facial recognition have shown it to be less accurate at identifying women and darker-skinned people.
"}}}},{"node":{"postTitle":"A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis","slug":"a-multimodal-comparison-of-latent-denoising-diffusion-probabilistic-models-and-generative-adversarial-networks-for-medical-image-synthesis","publishDate":"None","createdLocal":"2023-07-26 14:30:46.202086","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Table 1 Numerical evaluation of Medfusion’s autoencoder reconstruction quality.\nThis overall confirmed the numerically measured high reconstruction quality but revealed some dataset-specific reconstruction errors (Fig.\nThis demonstrated that Medfusion’s image quality could be further enhanced by making use of a better autoencoding architecture.\nTable 2 Numerical evaluation of Stable Diffusion’s autoencoder reconstruction quality.\nIn the CRXDX dataset, Medfusion achieved a mean AUROC value of 0.57 compared to cGAN’s 0.50 (P = 0.01).
"}}}},{"node":{"postTitle":"How does ESRB’s Facial Recognition system work? | Is it legal?","slug":"how-does-esrbs-facial-recognition-system-work-is-it-legal","publishDate":"2023-07-26 12:22:22+00:00","createdLocal":"2023-07-26 14:30:43.804719","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"But how does ESRB’s facial recognition system work and is it actually legal to scan faces before playing video games?\nHow Would ESRB’s Facial Recognition Work?\nAny facial recognition system would need to embed strict access controls and encryption safeguards.\nIs ESRB’s Facial Recognition Legal?\nIf you have any further questions regarding how ESRB’s Facial Recognition system work or if it is legal, comment down.
"}}}},{"node":{"postTitle":"Bridging the Gap Between AI and Retailers","slug":"bridging-the-gap-between-ai-and-retailers","publishDate":"2023-07-26 12:02:43+00:00","createdLocal":"2023-07-26 14:30:43.125232","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Bridging the Gap Between AI and Retailers July 26, 2023Share this articleThe intersection of AI and retailers comes into focus In the latest episode of Retail Refined.\nHost Melissa Gonzalez sits down with Purva Gupta, Co-Founder and CEO of Lily AI.\nTheir conversation centers on how Lily AI bridges the gap between ‘merchant speak’ and ‘consumer speak’ regarding AI and retailers.\nGupta explains how Lily AI uses advanced image recognition and AI capabilities to extract product attributes from catalogs, translating them into consumer-friendly language.\nInspired by consumer innovation, Purva joined Eko, a branchless banking and mobile payments platform serving the unbanked and funded by Gates Foundation.
"}}}},{"node":{"postTitle":"Kenworth Australia partners with Supercars","slug":"kenworth-australia-partners-with-supercars","publishDate":"2023-07-26 14:28:02+10:00","createdLocal":"2023-07-26 14:30:36.091293","feedName":"Autonomous Trucks","postSummary":{"childMarkdownRemark":{"html":"Kenworth Australia partners with SupercarsThe North American manufacturer's Australian arm has celebrated over two decades working with Supercars with the arrival of two new trucks.\nDuring the delivery of the keys last week Kenworth and Supercars confirmed the partnership would be extended until at least the end of 2025.\nSupercars CEO Shane Howard says Kenworth has been part of Supercars for as long as he can remember.\n\"We are thrilled to be continuing to support Supercars with two new Kenworth prime movers as part of our long-standing relationship.\nRace fans will be able to check out Supercars’ new Kenworth prime movers at next week’s Beaurepaires Sydney SuperNight, taking place July 28-30 at Sydney Motorsport Park.
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