Microsoft

Case study: Securing AI application supply chains

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
The Manila Times

Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning Integration for Gene Identification

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
ZME Science

AI Is Writing Nearly a Third of All Software Code in the US as the Technology Takes Over Silicon Valley

In the United States, the share of new code written with AI assistance has skyrocketed from a mere 5% in 2022 to a staggering ...
IEEE

Nodules Detection in Lungs CT Images Using Improved YOLOV5 and Classification of Types of Nodules by CNN-SVM

Abstract: Lung nodule detection in computed tomography (CT) imaging is crucial for the early diagnosis and treatment of lung disorders. This study explores the application of deep learning algori thms ...
GitHub

LangFair: Use-Case Level LLM Bias and Fairness Assessments

LangFair is a comprehensive Python library designed for conducting bias and fairness assessments of large language model (LLM) use cases. This repository includes various supporting resources, ...
IEEE

EffNet-SVM: A Hybrid Model for Diabetic Retinopathy Classification Using Retinal Fundus Images

Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...