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The physical world has always set the limits of what industry can achieve. Factories wear down. Pipelines corrode. Engines fail without warning. For centuries, the only way to understand a complex system was to build it, run it, and learn from its failures — often at enormous cost. Digital twins are changing that equation. A…
The digital economy has an infrastructure problem. Global demand for compute — driven by AI training, real-time analytics, and cloud services — is growing faster than the physical capacity to support it. Data centers are expanding at unprecedented rates, consuming vast amounts of land, water, and energy. According to the International Energy Agency, data centers…
Introduction: The Problem and the Shift Medicine has always been reactive. We wait for disease, then treat symptoms or slow progression. But the limits of this model are clear: chronic therapies are expensive, lifelong, and rarely curative. Genetic illnesses — from sickle cell to cystic fibrosis — expose the gap between what biology could fix…
Artificial Intelligence has spent its first decades living entirely in the digital realm — processing text, recognizing images, generating content, and optimizing algorithms at speeds no human could match. Yet despite this remarkable progress, AI has remained fundamentally disembodied. It thinks, but it cannot act in the physical world. That is about to change. Physical…