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This paper proposes a multi-agent framework that enables LLM agents to conduct controlled experiments using simulation models for pharmaceutical process design, yielding more specific and actionable recommendations than language-only reasoning.
This sponsored article from MIT Technology Review discusses how AI is being integrated into established process excellence frameworks like Lean Six Sigma and BPM to drive operational efficiency, and emphasizes that strong process foundations are necessary for AI investments to succeed.
This paper proposes a novel architecture integrating multi-head attention with the Soft Actor-Critic algorithm for porosity prediction and process parameter optimization in additive manufacturing, achieving faster convergence and higher rewards than standard RL methods.
The author argues that AI will not necessarily accelerate processes because bottlenecks often originate from unclear requirements upstream, not from development speed alone.