Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

Abstract: Recent machine learning (ML) advances have opened up new possibilities for addressing various challenges. Given their ability to tackle complex problems, the use of ML algorithms in ...

Advanced Micro Devices (NASDAQ: AMD) exploded on Monday, October 6, after the company announced a new partnership with OpenAI. As part of the deal, OpenAI will deploy up to 6 gigawatts (GW) of AMD ...

XRP is back above the $3 mark after a shaky few weeks, regaining momentum and breathing new hope into the market. Hovering at around $3.04 at the time of writing, the cryptocurrency is up over 1.72% ...

This repository implements the main experiments of our paper, Distilling Many-Shot In-Context Learning into a Cheat Sheet (EMNLP 2025 Findings). We introduce cheat-sheet ICL, which distills the ...

Detroit Lions cornerback Terrion Arnold (0) tackles Green Bay Packers wide receiver Christian Watson (9) during the second half at Lambeau Field in Green Bay, Wis. on Sunday, Nov. 3, 2024. / Junfu Han ...

1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...