Jane Edwards
Digital Reasoning has created a computer system that works to simulate the human brain to collect and process data.
The company said Monday it used 160 billion parameters to train the neural network, which has achieved an accuracy rate of nearly 86 percent in identifying word analogies.
“We are extremely proud of the results we have achieved, and the contribution we are making daily to the field of deep learning,†said Matthew Russell, chief technology officer at Digital Reasoning.
Digital Reasoning will present its research paper on the neural system titled “Modeling Order in Neural Word Embeddings at Scale†at the six-day 32nd International Conference on Machine Learning that is scheduled to start today in Lille, France.
