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India s premier roadside assistance application AUTO i CARE ropes in Sayaji Shinde as its Brand Ambassador

Gaadi Bandh No Fikar AUTO i CARE hai na campaign launched with Sayaji Shinde India s premier roadside assistance application AUTO i CARE ropes in Sayaji Shinde as its Brand Ambassador ANI | Updated: Apr 08, 2021 17:56 IST Mumbai (Maharashtra) [India], April 8 (ANI/NewsVoir): Gaadi Bandh, No Fikar! is the new campaign featuring veteran actor Sayaji Shinde to help address car breakdowns, finding a car mechanic in 20 mins and assist stranded vehicles anywhere, anytime through the mobile app AUTO i CARE, a leading player in providing 24x7 emergency roadside assistance. You would agree that having a vehicle breakdown has its physical and mental trauma on the owner, with Sayaji Shinde on board, AUTO i CARE aims to augment its position in the on-road assistance services market nationally. The app becomes the first mover in the sector with a brand ambassador stepping in as the face of the brand.

فيسبوك توقع صفقة مع نيوز كورب أستراليا لنشر الأخبار على منصتها

فيسبوك توقع صفقة مع نيوز كورب أستراليا لنشر الأخبار على منصتها
cnn.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from cnn.com Daily Mail and Mail on Sunday newspapers.

KLRN and Presa House team for screening of new documentary on bias in facial recognition algorithms

Posted By Dana Nichols on Thu, Mar 11, 2021 at 11:07 AM click to enlarge The documentary Coded Bias will be screened online for free on March 14. The Indie Lens Pop-Up Series presented by ITVS, Independent Lens, KLRN and Presa House Gallery continues with an online screening of the documentary Coded Bias, made by award-winning filmmaker Shalini Kantayya. The film follows computer scientist Joy Buolamwini, who realized that facial recognition technology failed to accurately detect dark-skinned faces or those of women. Following this discovery, Buolamwini formed the Algorithmic Justice League, a group pioneered by women with the goal of exposing the widespread underlying biases in everyday technology.

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