Neural Radiance Fields (NeRF) for 3D Visualization Rendering Based on 2D Images

Reconstructing 3D scenes and being able to interact with them in virtual environments used to be something beyond our capabilities but now with the use of Neural Radiance Fields (NeRF) and Instant Neural Graphic Primitives (InstantNGP) we are able to create a world in a virtual space, opening the gateways to applications in object detection and generation, augmented reality, medical imaging, and more.

We are living in a 3D world, but oftentimes we visualize things in 2D scopes like in pictures and videos of different objects. The world of 3D visualization has been constantly evolving over the past few years, still growing with the introduction of cutting-edge computer vision and deep learning methods. Reconstructing 3D scenes and being able to interact with them in virtual environments used to be something beyond our capabilities but now with the use of Neural Radiance Fields (NeRF) and Instant Neural Graphic Primitives (InstantNGP) we are able to create a world in a virtual space, opening the gateways to applications in object detection and generation, augmented reality, medical imaging, and more. Access to these methods will allow for more immersive development by creators, hands-on educational resources, and more experimentation and research, stimulating future applications and techniques.

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Classifying Carnatic Ragams Based On Audio Features

This study developed a Random Forest Classifier to identify ragams in Carnatic music by analyzing key audio features such as Chroma STFT, spectral properties, and MFCC coefficients. Trained on a dataset of 1,112 audio clips across 32 ragams, the model achieved a high classification accuracy of 99.1%, outperforming other baseline models.

Ananya S.

Mentored by Nancy Zhu

Using Machine Learning Models to Analyze the Aerodynamic Properties of Airfoils

This research posits that leveraging artificial intelligence could significantly reduce financial and computational costs while identifying optimal airfoil geometries.