Biometric Update

CMU-Africa researchers develop biometric PAD bias reduction methods and metrics

The researchers have developed a new approach to making biometric presentation attack detection (PAD) resistant to demographic bias.
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
AZoRobotics on MSN

Neuron-driven control could redefine how soft robots handle the unexpected

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.
Hosted on MSN

Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
IEEE

IRKA Is a Riemannian Gradient Descent Method

Abstract: The iterative rational Krylov algorithm (IRKA) is a commonly used fixed point iteration developed to minimize the $\mathcal {H}_{2}$ model order reduction ...
Scientific Research Publishing

Ruder, S. (2016) An Overview of Gradient Descent Optimization Algorithms. arXiv Preprint.

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
IEEE

Learning-Enhanced Riemannian Gradient Descent Method for Transmit–Receive Joint Design Toward ISRJ Suppression

Abstract: The interrupted sampling repeater jamming (ISRJ) can create false targets that obscure real targets, leading to radar target detection failures. This study investigates the ISRJ ...
Business Wire

Method AI Raises $20M in Series A Financing to Enhance Physician Visualization During Surgical Oncology Procedures

BOSTON--(BUSINESS WIRE)--Method AI, a medical technology company focused on improving oncology outcomes through image-guided surgical navigation, announced today it has raised $20 million in Series A ...