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Prof. Bhanu and his colleagues from the University of California, Riverside have developed a system to automate the process of player talent identification by performing visual analytics and generating statistics at the match, team and player level for soccer from a video using computer vision and machine learning techniques. This work uses a database of 49,952 images which are annotated into two classes namely: players with the ball and players without the ball. The system can identify which players are controlling the ball. Compared to other state-of-the-art approaches, this technology has demonstrated an accuracy of 86.59% on identifying players controlling the ball and an accuracy of 84.73% in generating the match analytics and player statistics. Figure 1: Visualization of features learned by the system Figure 2: Visualization of gray scale features learned by the system  

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UCLA researchers from the Department of Materials Science and Engineering have developed a composite surface, stimuli-responsive thin film capable of rapidly encrypting and decoding hidden messages and images.

UCLA researchers in the Department of Mathematicshave developed a method to maintain data privacy.

Researchers at the University of California, Davis have developed a viral amplicon-based vector system for heterologous protein expression and production in plants.

Solution processed near-infrared (NIR) organic light emitting diodes and NIR absorbing organic photodetectors are physically flexibile, manufacturable with low cost roll-to-roll processes, and scalable to large areas and volumes. These characteristics make them attractive candidates for wearable sensors. Inorganic NIR emitters and detectors have recently been used in medical and imaging applications, but have been limited by their lack of ‘wearability’ due to inflexibility and high scaling costs. When interfaced with standard inorganic electronics for control, data processing, and data transmission, arrays of flexible organic NIR emitters and detectors will enable further development of new medical diagnostic techniques and therapies and personal security verification. 

Researchers at the University of California, Davis have developed human milk-derived peptides that have demonstrated broad-spectrum, antibacterial, activity against a variety of harmful pathogens - without these peptides harming most, non-pathogenic, bacterial, flora.