IBM to slash time needed to train AI with new resistive processing tech

News: IBM researchers think that they can cut the horsepower and learning times by using “resistive” processing units. Tech giant IBM has developed a new technology that can speed up the training for deep neural networks (DNNs). Though DNNs can be taught to perform almost any task, training them is time consuming and complex. Training artificial intelligence (AI) systems involves the usage of supercomputers or data centres for a significant number of days. In a research paper titled ‘Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices’, authors Tayfun Gokmen and Yurii Vlasov said:”In recent years, DNNs have demonstrated significant business impact in large scale analysis and classification tasks such as speech recognition, visual object detection, pattern extraction, etc. “Training of large DNNs, however, is universally considered as time…


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