InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
IEEE

Boosting the Transferability of Adversarial Examples Through Gradient Aggregation

Abstract: Deep neural networks(DNNs) have been demonstrated to be vulnerable to meticulously crafted adversarial examples. Transfer-based attacks do not require ...
IEEE

A Study of Real-Time Aggregation Strategies for Semi-Asynchronous Federated Learning in Wireless Networks

Abstract: Aiming at the challenges faced by federated learning (FL) in wireless networks, such as device heterogeneity and limited communication resources, this paper proposes a real-time aggregation ...
GitHub

World Monitor

Cloud-dependent AI tools Run AI locally with Ollama/LM Studio — no API keys, no data leaves your machine. Opt-in Headline Memory builds a local semantic index of every headline for RAG-powered queries ...