Little did I know the antidote to my self-conscious doomscrolling would be as simple as sitting still long enough to be truly ...

“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 ...

Reproducible experiments and testimony presented at a recent webinar suggest LinkedIn’s algorithms systematically reduce the ...

Last year I was in a discussion on Facebook about some of the techniques I've been using to help my travel blogs recover ...

Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...

Social media algorithms change constantly, making it hard to maintain consistent reach and engagement. This article breaks ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

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

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Abstract: Rapidly-exploring random tree star (RRT*) has attracted intensive attention in track planning due to its asymptotic optimal properties. However, the RRT* algorithm plans costly trajectory ...