The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Transformer-based Large Language Models (LLMs) face significant challenges in efficiently processing long sequences due to the quadratic complexity of the self-attention mechanism. This will increase ...

The ability to generate accurate conclusions based on data inputs is essential for strong reasoning and dependable performance in Artificial Intelligence (AI) systems. The softmax function is a ...

This project implements a genetic algorithm to solve the Stable Marriage Problem, also known as the Marriage Matching Problem. The goal is to find an optimal matching between 30 men and 30 women, ...

Abstract: Multiagent cooperative systems can be used to conceptualize many real-world problems. Reinforcement learning is a particularly effective tool. The issue of bias in Q-function value ...

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...

Companies, nonprofit organizations, and governments design algorithms to learn and predict user preferences. They embed these algorithms in recommendation systems that help consumers make choices ...

I’ve been losing a lot of time to YouTube lately. I don’t even know why. In a down moment, I just find myself heading to the homepage and watching whatever comes up (usually weird Tears of the Kingdom ...

People’s daily interactions with online algorithms affect how they learn from others, with negative consequences including social misperceptions, conflict, and the spread of misinformation, my ...