Fujitsu Touts Faster Deep Learning
Japan’s Fujitsu Laboratories Ltd. claims its latest artificial intelligence software enables the world’s fastest machine learning processing.
Used in a 2,048 GPU network, the so-called deep learning system completed training calculations in less than 75 seconds—about 30% faster than the previous best. The gain was achieved in part by expanding computational volume per graphic processing unit used for image recognition, according to Fujitsu.
Deep learning is considered a key enabler for next-generation autonomous vehicles. The technology allows vehicles to quickly identify images/patterns and build a reference database that trains software to make decisions based on learned inputs and outcomes.
Fujitsu tested its system at Japan’s National Institute of Advanced Industrial Science and Technology. The technology was tested on Microsoft Corp.’s ResNet-50 deep-learning neural network.
Bosch, the supplier that is probably most familiar to people in the auto industry for its products including antilock braking systems and fuel injectors, is entering the ridesharing business.
Mountain View, Calif.–based startup Drive.ai is launching an autonomous vehicle pilot program on public roads in Frisco, Tex.
You talk with Pete Rander, president of Argo AI, a company that is working with Ford on developing Level 4 autonomous vehicle technology, and as the details become clearer, the enormity of the challenge seems daunting—yet Rander, who has been working on this for some 30 years, seems delighted he and his team are doing it.