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

Learning-Based Adaptive Fuzzy Output Feedback Control for MIMO Nonlinear Systems With Deception Attacks and Input Saturation

Abstract: This article proposes an adaptive fuzzy dual-channel event-triggered output feedback control approach for a class of multiple-input–multiple-output (MIMO) systems with deception attacks and ...

The New Turing Test: How Threats Use Geometry to Prove 'Humanness'

Malware is evolving to evade sandboxes by pretending to be a real human behind the keyboard. The Picus Red Report 2026 shows 80% of top attacker techniques now focus on evasion and persistence, ...
GitHub

submit_example_5.sh

path_for_parsed_chains=$output_dir"/parsed_pdbs.jsonl" path_for_assigned_chains=$output_dir"/assigned_pdbs.jsonl" path_for_fixed_positions=$output_dir"/fixed_pdbs ...
IEEE

Flexible Prescribed Performance Output Feedback Control for Nonlinear Systems With Input Saturation

Abstract: A flexible prescribed performance control (FPPC) approach for input saturated nonlinear systems (ISNSs) with unmeasurable states is first presented in this article. Compared to the standard ...