Can an HVAC controller reuse experience when its controls change? A look at the simulation results, transfer mechanism and deployment limits.

Research on annual-report summarization explains sentence selection, evidence traceability and the limits of overlap scores for financial disclosures.

Why minimizing pipeline communication can sacrifice parallelism—and how the research compares grouping, startup time and execution time.

How FedGAI shares fashion-sketch styles through local training and model updates, with original results on quality, computation and privacy limits.

Read the original IoT botnet detector’s errors, distinguish attack-family mistakes from missed attacks, and design a realistic evaluation.

A research-led guide to choosing financial AI explanations: feature attribution, attention, interpretable models and tests of real reviewer value.

Assess an LSTM job-openings forecast through its original results, data-timing risks and a practical backtest against equal-information baselines.

MAP explores how AI assistants handle conflicting user preferences. Understand its retrieval workflow, early results and a practical path to shared scheduling.

What 108,998 AI product reviews reveal about error recovery, customization and satisfaction—and how to turn the findings into useful product experiments.

DEST improves indoor 3D object detection by updating scene and object features together. Explore original diagrams, benchmark gains and the latency tradeoff.