PODCAST: explore advanced computational methods and their applications in diverse fields, from 3D graphics rendering to biomedical research and brain activity analysis. “Learning Three.js” provides a practical guide to creating interactive 3D web graphics using the Three.js library, covering topics like materials, geometries, and animations. The “Large Language Models for Bioinformatics” and “MindLLM” texts discuss the transformative potential of Large Language Models (LLMs) in bioinformatics and neuroscience, focusing on areas like drug discovery, genetic analysis, and fMRI-to-text decoding, as well as the challenges of handling noisy or complex data. Concurrently, “QMaxViT-Unet” and “Learning High-Order Relationships of Brain Regions” introduce novel machine learning frameworks for medical image segmentation and analyzing brain connectivity using fMRI, emphasizing the importance of interpreting high-order relationships and improving generalization across datasets. Finally, “Vision-Language Models as Top-View Spatial Reasoners” assesses the spatial reasoning capabilities of Vision-Language Models (VLMs) using top-view maps, highlighting current limitations in complex reasoning tasks.
