Intrinsic Method

Intrinsic methods in scientific research focus on analyzing the inherent properties and structures of data or systems to gain understanding and improve model performance. Current research explores applications across diverse fields, including explainable AI (using neural network internal workings), material science (analyzing nanoparticle synthesis mechanisms with LLMs), and computer vision (recovering camera parameters and depth from video). These approaches offer improved accuracy and robustness in various applications, ranging from image analysis and 3D modeling to cosmological parameter inference, by leveraging the underlying structure of the data rather than relying solely on external factors.