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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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The Age of Killer Robots

From Toronto to Tel Aviv to Tokyo, a new era of warfare and geopolitics has begun. The catalyst is killer robots. These new weapons of war will transform world affairs, business models and could take humanity down an unfamiliar path. The world must prepare now. Read this provocative new book and understand what is on the horizon and what it might mean for you.

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