AI Physics: The Transformative Impact of Machine Learning on Simulation and Design
For much of the 20th and early 21st centuries, physics-based simulations served as the cornerstone of scientific research and engineering innovation. Methods rooted in analytical mathematics—such as finite element analysis, computational fluid dynamics, and molecular dynamics—have provided insights into everything from turbulence in fluid flows to atomic-scale interactions. However, these traditional approaches are reaching their…
Scientific Asia
From Notes to Numbers: Making Sense of Data the Right Way
From Notes to Insights: Making Data Work for You These days, data is everywhere. Whether you’re running a small business, doing school research, or just trying to make better choices in your daily life, having good information helps. But raw data—like messy notes, random spreadsheets, and half-filled forms—can feel more confusing than helpful. So, how…