Distributed source coding represents a paradigm shift in data compression, wherein multiple correlated sources are encoded independently while still enabling joint decoding. This approach contrasts ...

Coding, information theory and compression constitute the backbone of modern digital communications and data storage. Grounded in Shannon’s seminal work, information theory quantifies the ...

Learn a clear, step-by-step approach to solving coding problems—from understanding the prompt and planning an algorithm to writing clean code and testing edge cases. These practical problem-solving ...

Build your Java skills from the ground up by working on simple tasks and beginner-friendly projects. Challenge yourself with more complex Java problems, including those focused on multithreading and ...

Whether you're just starting out as a coder or want to advance your coding skills, tackling programming problems is part of the plan. Convenient, free, and even fun, coding problem websites challenge ...

Lovable, a so-called “vibe coding” app that allows practically anybody to build websites and apps by using natural language by harnessing the power of artificial intelligence, has a huge cybersecurity ...

OpenAI’s latest large language model has been specifically designed for reasoning and is capable of generating code to a much higher standard than previous models. The ChatGPT-o1-Preview model ...

Ever wondered how different AI models stack up against each other when faced with the same coding challenges? All About AI has evaluated over 20 AI models using identical coding problems, aiming to ...

This course gives students analytical tools to quantify information, perform inference, and study the relationship of information and learning. The course covers information measures, the source and ...