AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane majestic. Amplifying words and ideas to separate the ordinary from the ...

Two major sources of training data exist for post-training modern language models: on-policy (model-generated rollouts) data and off-policy (human or other-model demonstrations) data. In this paper, ...

Abstract: The main aim of this research is to compare the efficacy of Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms in high-precision brain tumor prediction, solving for the ...

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...

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 ...

Abstract: This paper investigates the prediction of sailboat prices using the LS-SVM prediction algorithm and the XGBoost algorithm. The study involves training ...