Google has agreed to acquire neural net developer DNNresearch. The company, founded by University of Toronto professor Geoffrey Hinton and grad students, Alex Krizhevsky and Ilya Sutskever, was sold for an undisclosed sum.

The startup was incorporated last year and very little is known about the groups research. In fact the company’s website shares no identifying information, instead offering only a blank screen.

Google will likely incorporate the groups researcher into neural networking into its search results. The acquisition could have a major impact on search algorithms by better identifying pieces of content, images, voice, text and other data.

Google Neural Net Acquired

In announcing the acquisition the University of Toronto said that the team’s research “has profound implications for areas such as speech recognition, computer vision and language understanding.”

Professor Hinton is a leading researcher in neural net research and  “unsupervised learning procedures for neural networks with rich sensory input.”

Krizhevsky and Sutskever will continue their work, taking jobs at Google following the completion of their graduate program. Professor Hinton in the meantime will “divide his time between his university research and his work at Google.”

Google has long hoped to better understand how to include object recognition in its products. The company has drastically improved its image search capabilities and has developed facial recognition tools.

Much like it did with the acquisition of facial recognition firm Viewdle it appears Google is looking to quickly build out other object identification through the DNNresearch buyout.

The DNNreseqarch acquisition could also help Google better improve its voice recognition, natural language processing and machine learning. All of those fields would allow the search giant to weed out spam further while providing more accurate results for its search products.

Google Acquires Neural Net Developer DNNresearch

This is not the first time Google has worked with Hinton, the search giant had awarded the neural network professor $600,000 so his team could continue their work on neural nets.

[Images via University Of Toronto & networksandservers]