For years, the American teaching profession has been discussed almost entirely in terms of what it has lost. Falling ...

A childhood math pattern led me to question Jung’s claim that archetypes exist beyond the mind—and to ask which patterns come ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Abstract: This paper introduces High-order Vehicular Pattern Learning (HVPL), a novel framework designed to enhance vehicular pattern detection while ensuring privacy ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

Abstract: Data quality plays an important role during the training stage of machine/deep learning models. The annotation hinges on the experiences of domain experts. To acquire the expert’s knowledge ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

Prime numbers are sometimes called math’s “atoms” because they can be divided by only themselves and 1. For two millennia, mathematicians have wondered if the prime numbers are truly random, or if ...

Prime numbers are sometimes called math’s “atoms” because they can be divided by only themselves and 1. For two millennia, mathematicians have wondered if the prime numbers are truly random, or if ...

While working with leaders in struggling organizations and helping many clients move from growth to scalability, I had a brain blast: “What if I talked to the leaders who didn’t need me?” I became ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...