Articles, News & Events

In Part 1 of this series, we explored how AI agents differ from AI analysis tools and how they’re transforming laboratory operations through autonomous action. Agents route samples, manage inventory, monitor quality control, and optimize workflows without human intervention—delivering efficiency gains of 30-70% across different laboratory functions. But autonomous operation creates a security paradox: the same capabilities that make AI…

Your laboratory probably already uses artificial intelligence. Perhaps you have algorithms that analyze spectroscopy data, machine learning models that predict protein structures, or software that helps identify anomalies in quality control testing. You might even use ChatGPT to help draft protocols or summarize literature. But AI agents represent something fundamentally different from these AI analysis tools—and understanding that difference matters…