Edited by Jay Dunlap, Dartmouth College Geisel School of Medicine, Hanover, NH; received July 8, 2025; accepted October 14, 2025 ...

Abstract: We have been studying single flux quantum (SFQ) digital signal processing (DSP) circuits for superconducting tunnel junction (STJ) photon detector arrays. The proposed DSP circuit consists ...

Now with support for async comparators with the new HeapAsync class! Includes JavaScript methods, Python's heapq module methods, and Java's PriorityQueue methods. Easy to use, known interfaces, tested ...

Abstract— Multipliers are crucial components in processors and arithmetic logic units. The performance of microsystems, microcontrollers, and DSP processors is often evaluated based on the number of ...

Worldwide, Cancer remains a significant health concern due to its high mortality rates. Despite numerous traditional therapies and wet-laboratory methods for treating cancer-affected cells, these ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

Gleam is a functional programming language that proudly aims to be simple. This means you have a few straightforward tools to solve problems. That's why it's such a great language for zoning out from ...

In signal processing applications, the multipliers are essential component of arithmetic functional units in many applications, like digital signal processors, image/video processing, Machine Learning ...

Abstract: Deep neural networks are biologically inspired class of algorithms that have recently demonstrated the state-of-the-art accuracy in large-scale classification and recognition tasks. Hardware ...

Binary Classification Using a scikit Decision Tree Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily ...