Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Yann LeCun addresses a speech as he attends the World Economic Forum (WEF) annual meeting in Davos on January 23, 2025. FABRICE COFFRINI/Getty Images Yann LeCun's $1.03 billion bet on world models as ...

This is the coding implementations of the DSA.js book and the repo for the NPM package. In this repository, you can find the implementation of algorithms and data structures in JavaScript. This ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...

SINGAPORE - Students are increasingly relying on artificial intelligence (AI) tutors for their daily work. Besides mainstream tools such as Google’s Gemini and OpenAI’s ChatGPT, the latest contender ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

The tiny worm Caenorhabditis elegans has a brain just about the width of a human hair. Yet this animal’s itty-bitty organ coordinates and computes complex movements as the worm forages for food. “When ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Abstract: In multimodal multi-objective optimization problems (MMOPs), multiple solutions on different Pareto optimal solution sets (PSs) are mapped to the same point on the Pareto front. Considering ...

Abstract: This paper describes methods for recovering time-varying shape and motion of non-rigid 3D objects from uncalibrated 2D point tracks. For example, given a video recording of a talking person, ...