Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Random number generators (RNGs) are the lifeline of all independently-played casino games. The reels on a slot machine, ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

From probabilistic answers to off-site signals, AI visibility works differently than SEO. These seven truths explain how and ...

By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...

Provably fair betting uses cryptographic methods to prove that results are random and untampered. It allows players to verify ...

Free Photo Think back to ancient leaders who looked to the stars or the flight patterns of birds just to predict the future.

LinkedIn rewards different signals in 2026. Chris Donnelly brings data-backed insights from analyzing 300,000 posts on what ...

We fully decrypted SearchGuard, the anti-bot system protecting Google Search. Here's exactly how Google tells humans and bots ...

The discussion explains why technology decisions affect audit quality and cannot remain operational choices. It concludes ...

The presented findings are important for the field of cell-cycle control. They provide new insights into the origin of cell size variability in budding yeast. The strength of evidence is solid.

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...