IC Realtime Briefing Note [CGBN116]

One of the primary ways in which Machine Learning (ML) has been successfully applied is to the field of image recognition and classification. This is because algorithms such as Deep Learning have drastically simplified the process of identifying objects within an image and appropriately learning from large volumes of data and training.  IC Realtime (ICR) …

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IC Realtime Briefing Note

Document ID: CGBN116 | Last Updated: Apr. 6, 2018 Abstract One of the primary ways in which Machine Learning (ML) has been successfully applied is to the field of image recognition and classification. This is because algorithms such as Deep Learning have drastically simplified the process of identifying objects within an image and appropriately learning …

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Boulder AI Briefing Note

Document ID: CGBN115 | Last Updated: Mar. 25, 2018 Abstract One of the key capabilities that Artificial Intelligence (AI) provides is the ability to perform a wide range of computer vision tasks, from image recognition and identification to anomaly detection and object counting. However, it’s a challenge to get access to AI-enabled computer vision capabilities …

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Boulder AI Briefing Note [CGBN115]

One of the key capabilities that Artificial Intelligence (AI) provides is the ability to perform a wide range of computer vision tasks, from image recognition and identification to anomaly detection and object counting. However, it’s a challenge to get access to AI-enabled computer vision capabilities when you are disconnected from the network and operating with …

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Clarifai Briefing Note (CGBN112)

Computers acquire images through various sensors that turn light and objects into binary data, but computers can’t understand what that data means. For a long time, this didn’t really matter because a computer would just store those images for later consumption by human. However, mere capture of images is no longer sufficient. In order to …

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Clarifai Briefing Note

Document ID: CGBN112 | Last Updated: Feb. 7, 2018 Abstract Computers acquire images through various sensors that turn light and objects into binary data, but computers can’t understand what that data means. For a long time, this didn’t really matter because a computer would just store those images for later consumption by human. However, mere …

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SenseTime Briefing Note [CGBN103]

For a long time, it seemed that getting accurate image recognition was a computationally very difficult and hard task. Developers and researchers found it difficult to be able to program their way to distinguishing one face from another and in different positions, lighting situations, and facial expressions. Then Deep Learning came and changed everything. Into …

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SenseTime Briefing Note

Document ID: CGBN103 | Last Updated: Jan. 18, 2018 Abstract For a long time, it seemed that getting accurate image recognition was a computationally very difficult and hard task. Developers and researchers found it difficult to be able to program their way to distinguishing one face from another and in different positions, lighting situations, and …

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