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DigiYatra: How AI changed the way we travel by air in 2022

DigiYatra: How AI changed the way we travel by air in 2022 ....

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Teledyne FLIR Defense Introduces New Laser Target Designator Payload for Small (Group 1) Unmanned Aerial Systems

Teledyne FLIR Defense Introduces New Laser Target Designator Payload for Small (Group 1) Unmanned Aerial Systems
morningstar.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from morningstar.com Daily Mail and Mail on Sunday newspapers.

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Focal Systems Raises $25.8M in Series B Funding to Automate Retail Globally

/PRNewswire/ Focal Systems, the industry leader in retail automation, closed a $25.8m Series B financing round, led by Point72 Ventures, and joined by. ....

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The Entrepreneur Q&A: Ofri Ben Porat, Edgify

Edgify is striving to make AI more accessible, enabling any company to train complete DL and ML models, directly on their Edge devices. ....

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New smartphone app predicts vineyard yields earlier, more accurately

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ITHACA, N.Y. - Cornell University engineers and plant scientists have teamed up to develop a low-cost system that allows grape growers to predict their yields much earlier in the season and more accurately than costly traditional methods.
The new method allows a grower to use a smartphone to record video of grape vines while driving a tractor or walking through the vineyard at night. Growers may then upload their video to a server to process the data. The system relies on computer-vision to improve the reliability of yield estimates.
Traditional methods for estimating grape cluster numbers are often done manually by workers, who count a subset of clusters on vines and then scale their numbers up to account for the entire vineyard. This strategy is laborious, costly and inaccurate, with average cluster count error rates of up to 24% of actual yields. The new method cuts those maximum average error rates by almost half. ....

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