Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Abstract: This article proposes a lifted linear decision rule (LLDR) as a photovoltaic (PV) power control strategy for distribution system voltage regulation. First, the active-reactive power control ...

A line of Nippon Pulse’s linear shaft motors that features analog Hall effect sensors to enable closed-loop positioning without a linear encoder. Linear motors can be described as uncurled 3-phase ...

Polynomial equations are a cornerstone of modern science, providing a mathematical basis for celestial mechanics, computer graphics, market growth predictions and much more. But although most high ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

The use of Linear Complementarity Problems (LCP) is a powerful method for modeling switched systems, particularly in the context of power electronic circuits. Switched circuits are ubiquitous in ...

A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...

As one gains seniority, there is a presumption—dubious, perhaps—that one also gains wisdom. Thus, I find myself asked, not infrequently, to share some wisdom with junior researchers who seek insight ...

Optical and electrical are starting to cross paths at a much deeper level, particularly with the growing focus on 3D-ICs and AI/ML training in data centers, driving changes both in how chips are ...

Linear functions are an important concept for students to understand in math class. They can be represented using tables, graphs or equations. Teachers can use various activities to teach students how ...