Abstract: Data Structures and Algorithms (DSA) is fundamental to computer science education, yet novice learners face significant challenges in grasping abstract concepts and their system-level ...

Despite many proposals, there is little consensus among governors, lawmakers and tech executives about exactly how much the companies behind data centers should pay for electricity. By Ivan Penn and ...

These notes can be used to find top patterns for each category. Note that reading these notes can be much faster than watching videos. Moreover, it can take only take an evening to refresh your ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

A new data structure and compression technique developed by engineers at UC San Diego enables the field of pangenomics to handle unprecedented scales of genetic information. Illustration by Alice ...

Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown ...

In 2025, enterprise data platforms support business operations by combining analytics, governance and orchestration in one system, increasingly with generative and agentic AI-enabled features to ...

Do you remember the early days of social media? The promise of connection, of democratic empowerment, of barriers crumbling and gates opening? In those heady days, the co-founder of Twitter said that ...

Abstract: The Data Structures and Algorithms II course integrates gamified learning elements inspired by the Learning Mechanics-Game mechanics model to enhance student engagement, motivation, and the ...

The Fréchet distance is a widely used measure in computational geometry for quantifying the similarity between curves. Unlike simpler metrics, it takes into account the location and ordering of points ...