This project aims to detect and classify 16x16 pixel drawings into 10 categories (Sun, Moon, Tree, etc.) using linear and probabilistic models. The main focus was not just to use high-level libraries, ...

Compared to the conventional high-order staggered-grid finite-difference method (C-SFD), the time–space domain dispersion-relation-based high-order staggered-grid finite-difference method (TS-SFD) can ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

E4620 is typically taught once per year in the Fall semester. The information below is meant to provide a snapshot of the material covered. E4620 is intended to provide students with an introduction ...

For centuries, we have relied on human intuition, behavioral cues, and painstaking manual analysis to determine veracity in written communications. Enter artificial intelligence. AI algorithms, ...

Posts from this topic will be added to your daily email digest and your homepage feed. Louisiana inmates seeking parole are discovering that their fate will be decided not by humans – but by an ...

The Minneapolis City Council on Thursday approved an ordinance that would prohibit landlords from employing algorithms to set rent and vacancy rates. The proposed ordinance would specifically ban the ...

Automated reduction-in-force software, developed by the US government decades ago, may be behind how federal employees are being laid off. In the past month and a half, the Trump Administration has ...