Neurala claims 'lifelong deep neural nets' don't forget

Can deep learning be done at the edge of the network, in real time, without a team of data scientists in attendance? That's the promise of Boston-based startup Neurala Inc. and its twist on deep learning, a technology it's dubbed lifelong deep neural networks or L-DNNs. L-DNNs are designed to "overcome the catastrophic forgetting" problem encountered with traditional deep neural nets, technology that uses a hierarchy of algorithms and layers of processing to produce an outcome. Deep neural nets learn sequentially. To teach a deep neural net to recognize a new object, data scientists have to start the entire training process over, which requires time and computational power via the cloud.