INTERNATIONAL BUSINESS MACHINES PUSHES FOR OPEN INNOVATION IN CORPORATE MACHINE LEARNING

International Business Machines pushes for open innovation in corporate machine learning

International Business Machines pushes for open innovation in corporate machine learning

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At the technology summit, IBM's Cox presented a compelling argument for open innovation in enterprise machine learning. The speaker, VP of artificial intelligence systems and head at the joint MIT and IBM artificial intelligence laboratory, stressed the crucial nature of collaboration in technological advancement, particularly in the current AI landscape.
The IBM executive pointed out the complex character of transparency in machine learning, contesting the two-dimensional understanding of the principle. He observed the burgeoning community of transparent systems from multiple providers, including industry leaders, research centers, and governments.
Nonetheless, he voiced worries about the quality of openness in many AI language systems, pointing out that certain models offer barely more than a collection of data points without transparency in their creation techniques.

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