PatchCore detects unusual product images using a memory of normal patches. Explore original diagrams, missed defects and practical inspection checks.

What personality-conditioned AI agents actually demonstrate for cyber ranges: generated schedules, prompt-order bias and the next tests for realistic activity.

MoonCast research explains how scripts and shared audio context shape AI podcasts, with original results, voice-quality tradeoffs and implementation options.

How LLMs collect preferences and revise team decisions. Explore the original meeting example, simulation results and the limits of automated consensus.

An SMS study compares AI and human phishing messages. Understand intended clicks, contextual relevance and what the evidence means for security training.

A practical reading of AI-agent architecture: perception, memory, tools and outcome checks. Learn when a stateful workflow needs more autonomy.

Spiking-network research tests membership leakage across time steps and training methods. Explore original results, accuracy tradeoffs and privacy evaluation.

STORM combines temporal and cross-asset representations for financial prediction. Understand its architecture, ablations and the limits of historical backtests.