Predictive, AI and Machine Learning are not a fad, they are here to stay. Things come and go, some faster than others. But with AI and Predictive Analytics for multi-channel marketing, the results RedEye is able to achieve for our clients is enough evidence for me to believe that this one is definitely here to stay. When we are trying to understand and predict a prospect or customer's'next best action' the most powerful data is always recent data.

Siri and Cortana are helpful with answering questions and searching the web, but fall short when it comes to recognizing and anticipating someone's needs. Now researches have unveiled a new application that could be deemed a true virtual assistant for your smartphone. Called RedEye, this technology uses machine learning to see and hear what users are experiencing in order to provide them with specific information - like people they've seen or places they've been. Rice has unveiled a new application that could be deemed a true virtual assistant. Called RedEye, this technology uses machine learning to see and hear what users are experiencing to provide them with specific information -- like people they've seen or places they've been RedEye assists mobile CPU/GPU systems by replacing the image sensor, nearly halving the system energy consumption by moving convolutional processing from the digital domain in the analog domain.

Continuous mobile vision is limited by the inability to efficiently capture image frames and process vision features. This is largely due to the energy burden of analog readout circuitry, data traffic, and intensive computation. To promote efficiency, we shift early vision processing into the analog domain. This results in RedEye, an analog convolutional image sensor that performs layers of a convolutional neural network in the analog domain before quantization. We design RedEye to mitigate analog design complexity, using a modular column-parallel design to promote physical design reuse and algorithmic cyclic reuse.

RedEye is an image processing architecture that doesn't record pictures, it records descriptions of what it sees. There is too much in the world to see. Digital cameras capture all that is within their field of vision, storing richly detailed images in large files. But for many purposes, they don't have to. When we're driving, we don't need to know the license plates of all the cars around us, just their general shapes and positions.