Denso and Toshiba to develop artificial intelligence technology

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Denso Corporation and Toshiba Corporation are to jointly develop artificial intelligence technology called deep neural network-intellectual property (DNN-IP). It will be used in image recognition systems which have been independently developed by the two companies to help achieve advanced driver assistance and automated driving technologies.

DNN, an algorithm modeled after the neural networks of the human brain, is expected to perform recognition processing as accurately as, or even better than, the human brain.

To achieve automated driving, automotive computers need to be able to identify different road traffic situations including a variety of obstacles and road markings, the availability of road space for driving, and potentially dangerous situations. In image recognition based on conventional pattern recognition and machine learning, objects that need to be recognized by computers must be characterized and extracted in advance.

In DNN-based image recognition, computers can extract and learn the characteristics of objects on their own, thus significantly improving the accuracy of detection and identification of a wide range of objects.

Because of the rapid progress in DNN technology, the two companies plan to make the technology flexibly extendable to various network configurations. They will also enable the implementation of the technology with in-vehicle processors that are smaller, consume less power, and feature other optimizations.

October 26, 2016

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John joined UKi Media & Events in 2012 and has worked across a range of B2B titles within the company's automotive, marine and entertainment divisions. Currently editor of Automotive Testing Technology International, Crash Test Technology International and Electric & Hybrid Marine Technology International, John co-ordinates the day-the-day operations of each magazine, from commissioning and writing to editing and signing-off, as well managing web content. Aside from the magazines, John also serves as co-chairman of the annual Electric & Hybrid Marine Awards and can be found sniffing out stories throughout the halls of several of UKI's industry-leading expo events.

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