Overview: YouTube offers structured, high-quality DSA learning paths comparable to paid platforms in 2026.Combining concept-focused and problem-solving channels ...

Abstract: This paper explores the potential of AI chatbots in enhancing the teaching of data structures and algorithms (DSA) in computer science education. We present our experience using AI chatbots ...

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 ...

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 ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Forbes contributors publish independent expert analyses and insights. Anisha Sircar is a journalist covering tech, finance and society. A preliminary TikTok deal proposes U.S. investors own 80% of its ...

A structured collection of JavaScript, Node.js, and DSA practice code curated for interview preparation and mentoring. Organized into feature-based folders, this repo covers OOP basics, advanced JS ...

While the dawn of quantum computing may still be years away, federal agencies are facing a future threat that has already arrived. Adversaries are actively stealing encrypted government information ...

AI is transforming industries at an unprecedented pace. From life sciences and financial services to automotive and manufacturing, enterprises are racing to integrate AI into their operations. However ...

Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover ...