On the eve of Valentine’s Day, this love story from my column archives five years ago, slightly updated, seems appropriate to ...

Every Tuesday at 9 p.m., over 5,000 students at Stanford University, a prestigious institution in California, receive one email daily. The email contains information about a date match "chosen" by an ...

Perfect Match is a student-developed matchmaking service for Cornell community members that matches participants with possible romantic partners for Valentine’s Day using machine learning algorithms.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Match Group projects Q1 2026 total revenue between $850 million and $860 million, with adjusted EBITDA of $315 million to $320 million. For the full year 2026, total revenue is expected to be $3.41 ...

February 2 might best be known as Groundhog Day, but for fourth-year medical students, it’s the door to the beginning of their professional lives. It’s the day when ranking begins. Medical students ...

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

Background: This study aimed to investigate the online matching problem for anti-epidemic resources among multiple suppliers and recipients in the Internet of Healthcare System during a major outbreak ...

Abstract: Feature matching is a fundamental task in remote sensing and 3-D vision. In this article, a new feature matching algorithm is proposed under the random sample consensus (RANSAC) interaction ...

Match Day brought disappointment this year — not for interventional cardiology trainees but for fellowship programs left with unfilled positions. Figures show there were not enough fellows — raising ...

Now it means more reach, with a machine learning layer deciding what relevance looks like. Google has been steadily steering advertisers toward fewer moving parts – fewer match types, fewer manual ...

Retention analysts say Shorts older than 28-30 days are being deprioritized in recommendations. The reported shift affects channels ranging from 100 million to one billion monthly views. Creators warn ...