All mainstream credit card numbers obey a mathematical trick designed to catch the most common typos. It’s called the Luhn ...

While bidding optimization is one of the most powerful AI use cases in the ad industry’s tool kit, it remains underutilized.

Years of Suppression and Plagiarism of a Recognized Breakthrough: It is Time for Scientists and Leaders with Integrity to Endorse Funding the Inventor and Unlock the Full Potential for Cost-Effective ...

It was only a matter of time before AI companionship became a common, everyday reality, and here we are. While not all of us ...

Ray-Ban Meta can be called smart glasses or AI glasses, whichever rolls of your tongue easier. These sunglasses, perhaps the ideal AI wearable which many of us are discovering, combine Meta’s AI ...

In this video, we delve into the fascinating world of big number multiplication and explore how computers perform this task ...

In an era where chip complexity continues to skyrocket and time-to-market pressures intensify, traditional DRC debug methodologies are no longer sustainable. The limitations of scale, context ...

In an interview with Harvard Law Today, Noah Giansiracusa explains how companies deploy what some call "dynamic" or “surveillance pricing,” using individual customers' data as a primary algorithmic ...

This paper presents the Levinson algorithm, its rediscoveries and extensions. A review is given of the applications of the procedure to several areas of interest in the field of time series analysis.

Memp takes inspiration from human cognition to give LLM agents "procedural memory" that can adapt to new tasks and environments.