MLCommons is an Artificial Intelligence engineering consortium, built on a philosophy of open collaboration to improve AI systems. Through our collective engineering efforts across industry and academia we continually measure and improve the accuracy, safety, speed and efficiency of AI technologies–helping organizations around the world build better AI systems that will benefit society. 

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MLCommons

MLCommons' headquarters in San Francisco, United States

David Kanter

Rebecca Weiss

Gennady Pekhimenko

Kurt Bollacker

The AI and Machine Learning Contributors team at MLCommons is responsible for driving advancements in AI and machine learning through collaborative research and development. The team includes experts in AI safety, performance benchmarking, medical AI, storage solutions, research innovation, and dynamic benchmarking. Together, they ensure the continual progress of AI technologies in terms of accuracy, safety, speed, and efficiency, benefiting organizations and society globally.

AI and Machine Learning Contributors

The Management and Directorship team at MLCommons is responsible for setting strategic direction, coordinating large-scale collaborative projects, overseeing marketing initiatives, guiding research activities, and leading engineering efforts. This team ensures cohesive progress and alignment with the organization's mission to enhance AI systems through collective industry and academic collaboration.

MLCommons

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AI and Machine Learning Contributors

Management and Directorship

Offices

MLCommons

Org chart

Teams

AI and Machine Learning Contributors

Management and Directorship

Offices

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