Prasen Reddy Yakkanti's research highlights how AI-driven infrastructure scaling can revolutionize cloud resource management, ...

In his paper, Kienitz shows Gaussian mixture models ( GMM s) – a machine learning technique that has been used to fit complex ...

Nevertheless, most existing causal inference algorithms have limitations when applied to high-dimensional datasets with nonlinear causal relationships. In this work, a new causal representation method ...

Methods based on pairwise registration rely on a subsequent synchronization algorithm, which makes them poorly scalable ... we transpose the registration problem into the latent space of a pretrained ...

Over the years, the YouTube suggestion algorithm has become pretty complex. I’ve noticed that it can extrapolate my tastes very well based on my watch history, continuously tempting me to ...

Algorithms like RealPage encourage landlords to raise rents and not negotiate Providence will vote on the final passage of the ordinance on May 15 The Department of Justice is suing one software ...

What do we get by doing this complicated translation into algebra? Well, we get to use late-20th century algorithms to figure out what numbers you can plug into the board that satisfy all the ...

The system, known as AlphaEvolve, is based on the company's Gemini large language models (LLMs), with the addition of an "evolutionary" approach that evaluates and improves algorithms across a ...

TikTok is a social media app best known for short-form videos that keep users scrolling for hours. Creators can upload videos that are just a few seconds long or up to 10 minutes long. The app's ...

Google DeepMind’s AlphaEvolve Trains Itself to Create Advanced Algorithms Your email has been sent Google DeepMind has introduced AlphaEvolve, a generative AI agent designed to advance ...