Panellists observed that AI is currently used to develop predictive analytics, identify risk patterns, and trigger early warnings in complex operations ...

This is the introduction to The War Room, a weekly, subscriber-only newsletter bringing exclusive insights into defence and ...

Advancements in quantum imaging are transforming scientific research, offering unprecedented resolution and sensitivity for ...

Alpine is widely thought to be the newest slowest automobile to the grid, including more than battle distance, yet Gasly ...

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...

Instagram is back with a new feature that will allow users to "tune" their algorithm to only display the content they prefer to see, which will be first made available to Reels. The feature is still ...

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 ...

Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...

Introduction: With the pervasive integration of big data algorithms into daily life, individuals increasingly rely on algorithmic filtering to access information of interest, yet simultaneously face ...

Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...