So how exactly do startups handle the development of these matching algorithms and what can the average entrepreneur learn from these examples?

Facebook wants to develop algorithms that allow AI to interact with the world as people do. The AI would learn everything from a first-person video point of view.

“We believe that when people match a qualified job better, it helps them stay in their job.” The goal for BlackUp is to have 1 million Black professionals signing up, Agbonkonkon said.

Stanford students develop grant-matching algorithm By Jessica Lerner January 15, 2025, 7:18 a.m. EST 3 Min Read ...

It should be obvious to anyone developing that algorithm that you’re going to bake in the biases in that context. I hope people will see these things as problems and help build our coalition.

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical ...

[Also: Patient matching strategy gains ground with support from Congress] The ONC dataset and scoring platform from the challenge is still available for researchers who'd like to do further algorithm ...

Most of the algorithms mentioned here are highly proprietary, so understandably, we can’t dig deep to learn exactly how they function. However, there are some important takeaways to consider.