The AI Stack Trap: The Hidden Cost Of Overbuilding With AI

AI tooling is easier to adopt than ever, but many startups are layering models, frameworks, and APIs long before they understand their real value. This article examines how premature AI stacks create ...
Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing maps

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
IEEE

Prediction of Students’ Academic Performance in the Programming Fundamentals Course Using Long Short-Term Memory Neural Networks

Abstract: In recent years, there has been evidence of a growing interest on the part of universities to know in advance the academic performance of their students and allow them to establish timely ...
IEEE

Optimum Frequency Hop Patterns Constructed on a Golomb Costas Array Using Two-Dimensional Circular Shift

Abstract: This study presents a comprehensive mathematical model for analyzing optimum frequency hop (FH) patterns (OFHPs) derived from two-dimensional circular shifts applied to a Golomb Costas array ...