Artificial Intelligence
Understanding Algorithmic Bias and Fairness What is algorithmic bias and why does it matter? Algorithmic bias occurs when automatic decision-making systems produce unfair outcomes due to errors, assumptions, or discrimination in the way they were designed or the data they were trained on. This matters because algorithms now play a huge role in determining access…
The Promise of Quantum Computing Quantum computers utilize strange quantum phenomena like superposition, entanglement, and interference to solve problems believed to be intractable for classical computers. By encoding information in quantum bits (qubits) that can exist in a combination of 1 and 0 states, quantum algorithms can explore solutions in parallel to find the optimum…
The Theory-Practice Divide A divide exists between theoretical computer science and the practical application of computing concepts. Theoretical computer science focuses on mathematical models and provable bounds, while practical computing aims to build systems that work. This disconnect between theory and practice has origins in the early days of computer science. In the 1950s, pioneers…
The Core Question: Can Computers Enhance Human Mathematical Intuition? Mathematical intuition, the ability to grasp concepts non-consciously, is central to the practice of mathematics. Computers, with their precision, speed, and reliability, seem almost antithetical to fuzzy, subjective intuition. Yet mathematical software has advanced to the point where it can augment and enhance human intuitive abilities…
Decision trees are a popular supervised learning method used for classification and regression tasks. They work by recursively partitioning the input space and fitting simple prediction models in each partition. Understanding the theoretical properties of how decision trees can reliably learn patterns from data, known as their learnability, has been an important area of research….
Demystifying Theoretical Computer Science Theoretical computer science utilizes mathematical techniques and models to analyze the fundamental underpinnings of computation and information processing. However, the abstract nature of theoretical concepts often makes this field seem esoteric and disconnected from practical applications. This article aims to demystify key aspects of theoretical computer science and demonstrate its immense…