Understanding how the human brain represents the information picked up by the senses is a longstanding objective of ...

Designed to eliminate the friction of traditional video production, JoggAI combines cutting-edge AI with intuitive design to ...

Representation begins with showing up. And no algorithm can shake a hand, hear a quiver in someone’s voice, or recognize the weight behind a sigh. That takes a person. That takes presence.

Visual Representation of a Frequency Distribution Both histograms and bar charts provide a visual display using columns, where the y-axis represents the frequency count while the x-axis represents ...

This study systematically compares how different generative AI tools—LLMs, text-to-image (T2I), and text-to-3D (T2-3D) models—support distinct stages of the creative process. The findings ...

Visual attention prediction (VAP) is a significant and imperative issue in the field of computer vision. Most of the existing VAP methods are based on deep learning. However, they do not fully take ...

Re-implementation of the ICLR'21 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions" that introduces Random Convolutions and Consistency loss. This is an ...

Traffic classification (TC) is a fundamental task of network management and monitoring operations. Previous works relying on selected packet header fields (e.g. port numbers) or application layer ...

This project aims to classify breast cancer samples as Primary Tumor or Solid Tissue Normal using gene expression data from the TCGA BRCA (Breast Invasive Carcinoma) dataset. Two powerful machine ...