Machine learning gets faster thanks to Lifelong DNN technology
|Christian Hargrave in Artificial Intelligence Tuesday, May 15, 2018|
The machine learning process sees major speed improvements from Neurala's Lifelong Deep Neural Network technology reducing the training time for AI considerably.
“It takes a very long time to train a traditional DNN on a dataset, and, once that happens, it must be completely re-trained if even a single piece of new information is added. Our technology allows for a massive reduction in the time it takes to train a neural network and all but eliminates the time it takes to add new information,” said Anatoli Gorshechnikov, CTO and, co-founder of Neurala. “Our Lifelong-DNN is the only AI solution that allows for incremental learning and is the breakthrough that companies across many industries have needed to make deep learning useful for their customers.”
Off-the-shelf DNN is pretrained on an ImageNet - a massive database of images organized by keywords - and specific datasets. Until now, traditional DNN was fixed, and, to add new data, the system needed to be retrained on all objects from both datasets.
This traditional method required using powerful servers often located in the cloud. Neurala Lifelong Deep Neural Networks, Lifelong-DNN, enable the learning of objects on the edge incrementally, mimicking in software the way cortical and sub-cortical circuits in human and animal brains work “in tandem” to add new information on the fly. Lifelong-DNN can use 20 percent of the number of instances per class, with only a single presentation of each during training to achieve optimal performance. This can decrease training time even more.
“This update is game-changing for edge analytics and for the way servers are used today,” added Gorshechnikov. “We can envision this technology slashing compute powers in server farms and enabling networks to be assembled on the fly on custom data. We are only scratching the surface of potential applications.”
Learn the best ways to organize your app development projects, and keep code straight, clients happy, and breathe a easier through launches.
Bridging the silos of crowdsourcing research to build better solutions, faster.
Write and run code every step of the way, using Android Studio to create apps that integrate with other apps, download and display pictures from the web, play sounds, and more. Each chapter and app has been designed and tested to provide the knowledge and experience you need to get started in Android development.
How to create a profitable, sustainable business developing and marketing mobile apps.