New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it ...

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...

The year isn't over yet, but we've already seen record-breaking quantum computers, skyrocketing levels of investment, and demonstrations of real-world benefits.

Numerical Continuation and Stationkeeping of Quasi-Periodic Quasi-Satellite Orbits around Phobos Quasi-satellite orbits (QSOs) have been under the research spotlight due to their linear stability and ...

Learn how to implement the Adam optimization algorithm from scratch in Python! This step-by-step guide breaks down the math, ...

Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating ...

The number of people living with dementia worldwide was estimated at 57 million in 2021 with nearly 10 million new cases recorded each year. In the U.S., dementia impacts more than 6 million lives, ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

Diploid assembly is a difficult task that requires several types of genomic sequencing data, including — but not limited to — HiFi reads and parental sequences. Hypo-assembler, an assembly algorithm, ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...