Robotics & Geopolitics: AI Strategy Must Hinge on Local Strengths, Markets

A nation or region’s artificial intelligence strategy is viewed as essential to future economic and geopolitical competitiveness, but we can see a number of approaches. Making sure that machine learning is localized, centralized hubs, and targeting niche markets, are among them. How are China, the U.S., and other nations developing — or not pursuing — an AI strategy?

Robotics Business Review has partnered with Abishur Prakash at Center for Innovating the Future to provide its readers with cutting-edge insights into recent developments in international robotics, AI, and unmanned systems. Are you ready to be updated?

Regular people, not programmers teach robots

Robotics development: Nvidia’s robotics research lab has developed neural networks that allow robots to learn new skills by watching and monitoring human behavior in an environment like a factory.

The power of this innovation is that it could allow robots to move beyond repeating actions. They could start to adapt to changing conditions, such as if a robot or a human drops a box on the factory floor. In addition, robots could be personalized by changing their behavior based on what they observe their owners doing.

Geopolitical significance: One of the big challenges for organizations that want to use advanced automation is the time it takes to train AI. The way a bank wants AI to behave is very different from how a coffee shop wants a robot to behave.

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