In 2019 I ran across Counterfactual Regret Minimization while searching for something completely different — three citations ...

Google DeepMind's AlphaEvolve uses Gemini to evolve new game theory algorithms that rival or beat human-designed methods, ...

There has been a recent critical need to study fairness and bias in machine learning (ML) algorithms. Since there is clearly no one-size-fits-all solution to fairness, ML methods should be developed ...

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla billionaire Elon Musk had only recently acquired the platform, and he claimed ...

He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. is the Verge’s weekend editor.

Abstract: The integration of distributed energy resources and decentralized power generation through microgrids has transformed modern power systems. To support this transition, various multiport ...

Threads is testing a new way for users to manipulate their own recommendation algorithm. The feature, aptly called "Dear algo," allows users to post a message to the algorithm with the note "dear algo ...

new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC PLAYING] “Attention is infrastructure.” “Those algorithms are ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

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 ...

We present BOCoDe, a Python and PyTorch-based library that contains the most comprehensive suite of engineering design optimization problems and an interface to popular synthetic optimization problems ...