Artificial Intelligence
One of the major difficulties with deep learning is the need to fully retrain the network on server every time new data becomes available in order to preserve the previous knowledge. This is called 'catastrophic forgetting' and severely impairs the ability to develop a truly autonomous AI. Neurala has now announced a patent pending technology that may solve this problem by simply training on the fly the new object without retraining of the old.
Artificial intelligence company, Neurala recently announced a major advance in deep learning with software that can learn with or without the cloud and eliminates the risk of forgetting its previous knowledge. The company made the announcement through a press release.
"This enables a new class of intelligent machines."
"Our results not only show state of the art accuracy, but real time performance suitable for deployment of AI directly on the edge, thus moving AI out of the server room and into the hands of consumers," states Anatoly Gorshechnikov, Neurala's CTO. "Imagine a toy that can learn to recognize and react to its owner or a drone that can learn and detect objects of interest identified while in flight."Related articles
The new patent-pending approach means that for the first time a self-driving car can be personalized by each owner or dealer to a specific neighborhood; a parent can teach a toy to recognize a child, without infringing on privacy; and industrial machines can be updated in the field for specific tasks.Until now, if an AI system had learned a certain number of objects and needed to learn one more, it would have to be retrained on all of the objects. This traditional method requires using powerful servers that are often located in the cloud. Neurala enables learning of the incremental object on the edge.
Neurala’s breakthrough solves the “catastrophic forgetting” problem for deep learning neural networks instantly at the computing device. New objects can be added to the deep learning AI system on the fly, on the edge and without a server. Systems do not need to be retrained from the beginning, and new information can be added without risk. Neurala accomplishes this by combining different neural network architectures in a way that was previously considered impossible.
“Neurala’s breakthrough approach is the enabler that automotive companies, consumer electronics companies and others have needed to make deep learning useful for their customers,” said Massimiliano “Max” Versace, CEO of Neurala. “The ability to learn on the fly and at the edge means that the Neurala approach enables learning directly on the device, without all the drawbacks of cloud learning. In addition, it eliminates network latency, increases real-time performance, and ensures privacy where needed. Most importantly, it will unlock the development of a sea of cloud-less applications.”
“The NVIDIA Jetson AI platform enables Neurala to develop innovative deep learning solutions for inferencing and learning at the edge,” said Murali Gopalakrishna, head of product management, intelligent devices, at NVIDIA. “This enables a new class of intelligent machines.”
Neurala will incorporate the new capability at no additional charge into the Neurala Brains for Bots SDK (software development kit). It is expected to ship later this year.
0 comments:
Post a Comment