Physical AI refers to intelligent systems that can sense, reason, and act inside the physical world. These systems do not remain limited to screens, servers, or digital spaces. Instead, they operate ...
ABB has introduced significant advancements to the power simulation models for its ABB UNITROL 1000 Automatic Voltage Regulators (AVR).
A new plasma framework reframes ignition, sustainment, and degradation, redefining energy behavior for next-generation ...
Abstract: Humanoid robots are drawing significant attention as versatile platforms for complex motor control, human-robot interaction, and general-purpose physical intelligence. However, achieving ...
AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.
BackgroundAs pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, and energy ...
In this work, the authors systematically advance macro-micro integration with feedback (MMIF) as a transformative paradigm for analyzing urban mega-mobility systems, synthesizing the state-of-the-art ...
Abstract: Underwater robots are critical observation platforms for diverse ocean environments. However, existing robotic designs often lack long-range and deep-sea observation capabilities and ...
Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...
First-principles derived computational fluid dynamics (CFD) simulations have been proposed as a fundamental tool for investigating solvent-based CO2 absorption in packed columns due to their ability ...
Biological processes that govern our lives are many, intertwined, and often difficult to understand. They involve countless interactions happening at once—molecules recognizing each other, signals ...
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