10 New AI roles that didn’t exist 3 years ago — Second Talent’s 2026 Report

New 2026 report from the engineering hiring platform Second Talent finds AI Agent Engineer is the fastest-growing role ...
IEEE

Adversarial Machine Learning for Robust and Secure UAV Detection in Consumer Applications

Abstract: This research evaluates a cognitive AI model for unmanned aerial vehicles (UAV) detection using adversarial machine learning (AML) techniques. We test the model using the VisDrone dataset ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
Scientific Research Publishing

Standen, M., Kim, J. and Szabo, C. (2025) Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning. ACM Computing Surveys, 57, 1-35.

ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...
CNBC

Encountered a problematic response from an AI model? More standards and tests are needed, say researchers

More cases of potentially harmful outputs are being uncovered as the usage of AI increases. These include hate speech, copyright infringements or sexual content. AI models need to meet a strict set of ...
techannouncer

Unlocking Machine Learning Potential with Google Colab Python

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...
Infosecurity-magazine.com

Malicious Machine Learning Model Attack Discovered on PyPI

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...
VentureBeat

Adversarial attacks in machine learning: What they are and how to stop them

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...