AI-guided analysis assigns amino acid-level roles in protein design

With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...
InsuranceNewsNet

AI & Algorithms: Reshaping portfolio checkups — and outsmarting risk

Tech-savvy insurance providers are using AI-powered algorithms to automate underwriting needs and moderate risk.
IEEE

A Block Minorization-Maximization Algorithm for Row-Sparse Principal Component Analysis

Abstract: We present a block minorization-maximization (MM) algorithm to solve the row-sparse principal component analysis (RSPCA) problem. The RSPCA problem consists of orthogonality and row-sparsity ...

Algorithm-based strategy shows promise in reducing urban poverty

When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...