AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

This open-source agent installs software, makes calls and runs your digital life—redefining what “digital assistants” are ...

Pairing humans with GenAI often outperforms full automation in the finance sector, from credit and risk decisions to fraud detection, wealth management and disputes.

The University of Chicago's six-week AI and Data Science for Leaders course empowers professionals to strategically integrate artificial intelligence into their ...

COLUMBUS, MD, UNITED STATES, January 27, 2026 /EINPresswire.com/ -- Prem Kireet Chowdary Nimmalapudi, an AI engineer, ...

As AI systems begin to act, enterprises face a new crisis: how to govern decisions, risk, and compliance in a world run ...

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...

The use of AI in pharmaceutical development is becoming widespread, but the rulebook is still being written.McKinsey reports that 71% of businesses across various industries now use generative AI, ...

AI in manufacturing design is already delivering measurable results, from faster toolpaths to predictive quality control. Here’s where it’s working and what it delivers.

Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...

This repository contains the code and data associated with the research paper: "Automated Regression Workflow for Interpretable Deflection Prediction in Bio-Inspired Laminated Composite Plates" Shakti ...