How to Choose Between the Top 11 Tools in 2025 Static Application Security Testing (SAST) is a proactive approach to identifying security vulnerabilities in source code during development. This ...

Juan M. Lavista Ferres, the chief data scientist at Microsoft's AI for Good Lab, discusses how artificial intelligence might ...

Construction workers regularly perform walking locomotion on level and inclined surfaces. It is critical to detect walking activity and estimate body postures in real time for monitoring workers’ ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

This study aimed to predict tumor response to nivolumab anti–PD-1 antibody treatment for advanced RCC by integrating genetic and clinical data using machine learning (ML). Methods Clinical and ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...

In this article, the author discusses a machine learning pipeline with observability built-in for credit card fraud detection use case, with tools like MLflow, FastAPI, Streamlit, Apache Kafka ...

A research team has recently developed a groundbreaking neuromorphic exposure control (NEC) system that revolutionizes machine vision under extreme lighting variations. This biologically inspired ...

Adaptive detection & correlation. The SIEM (and XDR) layer in SOC 3.0 is far more automated with AI/ML models, rather than human experts, creating and maintaining correlation rules. The system ...