Reddit demonstrates elite profitability, with 69% revenue growth, a 40% EBITDA margin, and a 47% free cash flow margin. Click ...

Data centers popping up all over Illinois are sucking up millions of gallons of water a day, at a pace that the state can't keep up with. With the Chicago area situated next to the massive Lake ...

How computers compress text: Huffman coding and Huffman trees This video delves into how computers store text as eight bits per character and examines why more efficient methods are not widely adopted ...

Research from RedAccess highlights that thousands of apps created via vibe coding—AI tools used by non-developers—are exposing sensitive data, including medical and financial records. While platform ...

Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds—and in thousands of cases, spill highly sensitive data onto the public internet. Security researcher ...

Information theory provides a unifying framework for both model selection and data compression by quantifying the trade-off between model complexity and the fidelity with which a model represents data ...

You’ve likely already felt the digital sting of “surveillance pricing.” It might look like an airline advertising a specific fare bundle because a customer’s loyalty-program data suggests they’re ...

AI tools like Claude Code empower founders, especially non-technical ones, to rapidly transform existing expertise and audience insights into new, monetizable products. This "vibe coding" compresses ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Most of the world's information is stored digitally right now. Every year, we generate more data than we did the year before. Now, with AI in the picture, a technology that relies on a whole lot of ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...