A multi-agent swine-health pilot separates intake, diagnosis support and retrieval. See what its 32-question test shows and how to build safer handoffs.

When should an agent gather another clue? Research compares information seeking with reward optimization, revealing tradeoffs in consistency and cost.

Compare AI scheduling, dispatching rules and solvers using the same constraints. Research explains feasibility, performance gaps and practical evaluation.

LLM confidence can help route uncertain answers even when its percentages are misleading. Learn how abstention changes errors and completed work.

Learn how reinforcement learning routes deliveries under capacity constraints, what benchmark gains mean, and what is needed to establish emissions savings.

Why reward-model accuracy alone cannot predict useful AI training. Research explains policy-specific feedback, learning curves and selection tradeoffs.

How XR-Objects connects AI answers to physical items. Explore its original diagrams, small user study and a practical path to testing object-based interfaces.

What 177 papers reveal about GPT in games: content tools, gameplay, player research and the limits of live control. Includes practical implementation guidance.