Category: All Articles

Scientific models make prediction possible by selecting which features of a system to represent. Their usefulness depends on the question, the operating conditions, and the consequences of error. Measurement introduces a further layer: instruments and procedures connect model quantities to observations, with uncertainty that must be understood. Validation examines whether the available evidence supports using…

Summary Applied physics and theoretical physics have different immediate purposes, but they do not advance independently. Theoretical work proposes general relationships; applied work tests, realizes, and extends physical knowledge under material constraints. Between them lie mathematical models, experiments, instruments, computation, engineering, and repeated revision. A useful framework is Theory -> Model -> Measurement -> System…

Introduction Artificial intelligence in education is often discussed through generative tools: writing assistants, tutors, image generators, learning analytics, and automated feedback. This is Digital AI operating mainly through information. A second development is equally important. Physical AI connects computation to sensors, actuators, machines, and material environments. It may take the form of a robot, autonomous…

Physical AI is a systems problem Physical AI couples computation to bodies and environments. Its outputs may become motion, contact force, heat, resource consumption, and risk. Prediction accuracy therefore cannot be the only design criterion. A robot must act within equations of motion, geometric and contact constraints, uncertain measurements, closed-loop stability requirements, and finite energy.…

Introduction Artificial intelligence is often described through computational performance: what a model can classify, predict, generate, or recommend. When AI is connected to sensors and actuators, however, its outputs can change the physical world. The relevant questions then expand from informational accuracy to motion, stability, energy, timing, environmental interaction, safety, and recovery. This article uses…

Introduction Intelligent systems are frequently evaluated by what they can recognize, predict, or generate. For systems that interact with the physical world, however, computational performance is only one layer of the problem. A robot, autonomous instrument, or AI-enabled laboratory platform must also operate under motion, contact, energy, timing, sensing, and safety constraints. Mathematical physics contributes…

Abstract As the lyrics said, “now, the end is near”. The last sunrise of 2025 has risen, and as the final sunset approaches, we reflect on a year of extraordinary scientific innovation and human experience. This article narrates the story of 2025 in a Nature-style review, mixing scientific breakthroughs with personal and philosophical insights in…

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How Long Does a Fall Take? Compare Two Objects — Interactive How Long Does a Fall Take?Compare Two Objects — Interactive Test the mass‑independence claim in vacuum vs real air. Choose two objects, set an environment and wind, then compare their descent. Quadratic drag + buoyancy with a robust RK4 integrator. Setup & Theming Preset…

Free Fall Simulation Free Fall Simulation Height: 250 m Mass: 10 kg Drop Objects Vacuum 🌕 Time: 0.00 s Real World (Air) 🌬️ Time: 0.00 s