Each year, approximately 36,000 people are diagnosed with the disease in the United States, according to the American Cancer ...

Abstract: A linear SVM scales linearly with the size of a dataset, and hence is very desirable as a classifier for large datasets. However, it is not able to classify a dataset having a nonlinear ...

Abstract: This paper presents a lookup-table sharing scheme for implementing Boolean functions on Xilinx FPGAs. The scheme aims to exploit each LUT6 primitive on FPGAs as two Boolean functions sharing ...

If we can fully map the structure of our brains, will we be able to understand how they work? That is the goal of researchers attempting to build a wiring diagram, or connectome, of our neural ...

Blink and you might have missed it. FATMAP is back! Well, sort of. As we already lamented here on POWDER, our favorite 3D mapping app FATMAP was shut off for good last fall after being acquired by ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

Amit Walia, Matthew Shew and Craig A. Buchman from Washington University School of Medicine, detail the role of cognitive function and electrode mapping in cochlear implant performance In a previous ...

The BYROW function is a powerful tool that applies a Lambda function to each row in your dataset. This function is particularly useful when you need to perform operations on a row-by-row basis. For ...