A3 Creates AI Technology Strategy Board

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The Association for Advancing Automation (A3) has created a new Artificial Intelligence (AI) Technology Strategy Board. The board is part of an initiative to promote education and adoption of the applications of artificial intelligence in automation industries, and, within A3, places AI leadership at the same level as A3’s existing technology groups: robotics, vision and imaging, and motion control and motors.

The AI Technology Strategy Board will be composed of senior executives from leading AI and technology companies, A3 said in a press release. It is the first time the global trade association has added a technology group to its leadership since adding motion control in 2006.

“Artificial intelligence — in many shapes and forms — will be the stitching that weaves together a new age of industry,” said Jeff Burnstein, president of A3. “As the global trade group of the automation industry, we need to help prepare our members to seize this potential.”

The creation of the technology strategy board is the culmination of a three-year effort to educate and inform automation leaders about the growing importance of artificial intelligence. The board’s chairman is John Lizzi, executive leader for robotics at GE Research. Robert Huschka, A3’s vice president of education strategies, will serve as the association’s liaison to the new board.

AI technologies will play a central role at A3’s two major trade shows in 2022, The Automate Show & Conference, June 6-9, in Detroit, Mich., and The Vision Show, October 11-13, in Boston, Mass., A3 said.

Published: June 2021
The processes in which luminous energy incident on the eye is perceived and evaluated.
artificial intelligence
The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning, and problem solving.
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
visionA3Jeff BurnsteinAIartificial intelligenceBusinessmachine visionmachine vision softwaremachine vision systemsAI deep learningAI solutionsAI trainingindustrialautomationroboticsRobert HuschkaThe News Wire

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