Researchers at IBM recently announced that the firm's distributed visual data recognition models can now be trained faster than competing models from Facebook, according to TechCrunch. Distributed visual data processing is a subset of deep learning, which is a branch of machine learning, that uses several graphics processing units (GPUs) to process and analyze massive data sets. It's ideal for very large deep learning projects where the data is too large to be processed on a single GPU. While not specifically designed for the IoT, distributed visual data recognition could aid larger IoT ecosystems in particular.
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