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Nvidia’s latest move into shipbuilding is not really about ships. It is about whether artificial intelligence can finally improve productivity in one of the world’s most complex, labor-intensive, and stubbornly difficult manufacturing environments. Nvidia and Kawasaki Heavy Industries plan to develop a next-generation digital shipyard at Kawasaki’s Sakaide Works in Japan. The companies will combine The post From Chips to Ships: Why Nvidia’s Move into Shipbuilding Matters appeared first on Logistics Viewpoints.

The most important part of Google DeepMind’s latest robotics announcement is not a humanoid robot walking across a room, bending down, or placing an object on a shelf. It is the possibility that robotic intelligence may no longer need to remain permanently tied to one machine. Google DeepMind has introduced Gemini Robotics 2, a new The post Beyond Humanoid Robots: Why Google DeepMind Is Building the Intelligence Layer for Physical AI appeared first on Logistics Viewpoints.

The United States has become the central supplier in a rapidly reorganizing global natural-gas market. A decade ago, the country was preparing to import significant quantities of liquefied natural gas. Today, it is the world’s largest LNG exporter, supplying utilities, industrial companies, and national energy systems across Europe, Asia, Latin America, and the Caribbean. This The post America’s LNG Export Strategy: Energy Security, Geopolitics, and Supply-Chain Risk appeared first on Logistics Viewpoints.

Supply-chain executives face no shortage of technology advice. They are told to adopt artificial intelligence, automate decision-making, modernize legacy systems, build digital twins, improve visibility, connect suppliers, deploy agents, and prepare for autonomous operations. Most of these recommendations are directionally reasonable. Taken together, however, they can create more confusion than clarity. The problem is not The post Technology Strategy, Not Technology Noise: A Practical AI Playbook for Supply Chain Leaders appeared first on Logistics Viewpoints.

Most large companies now operate combinations of enterprise resource planning systems, transportation management systems, warehouse management systems, planning applications, supplier portals, control towers, data platforms, and specialized analytics tools. Yet employees still spend substantial time searching for information, reconciling records, moving data between applications, and coordinating work through email and spreadsheets. Artificial intelligence agents could The post Model Context Protocol and the Future of Agentic Supply Chains appeared first on Logistics Viewpoints.