IBM and MIT begin research on ‘machine vision’




IBM and the Massachusetts Institute of Technology have announced a collaboration in the field of machine vision. The research focuses on the development of artificial intelligence as a human sounds and images can interpret.

Cooperation should continue for several years and is known as the Laboratory for Brain-inspired Multimedia Machine’s Comprehension, or BM3C. IBM explains that, for example, it is easy for people to give a description of the events in a short video. They can also according to their predictions about future events. However, for a computer, this would currently be impossible. The two organizations want to develop artificial intelligence capable of recognizing patterns and make predictions on the basis of sound and image.

This technique should be applied in various sectors including education, entertainment and healthcare. MIT provides a team of researchers from the department of brain and cognitive sciences and the laboratory of computer science and artificial intelligence. IBM contributes to this knowledge in to which has been gained on the basis of the Watson-platform. This is currently used for many different purposes, for example to establish diagnoses for diseases or secure networks. IBM and MIT are not the only ones working on this type of application, so let Google and Stanford in 2014. For example, a neural network to recognize situations on photos and videos. Facebook was recently artificial intelligence recognition for open source.

The collaboration with MIT is in accordance with IBM’s part of a larger program, which the company in the field of artificial intelligence cooperates with various scientific institutions. There’s also started a program with Rensselaer Polytechnic Institute to study the way people and machines can better work together. Together with the University of Maryland IBM is also a way to assist in their work by using machine learning security professionals. Other cooperatives focus on natural communicate with computers and the understanding of language, speech and sight using deep learning -algoritmes.


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