Research
Machine Learning Accelerates Food Pathogen Detection
A recent review published in Applied Food Research explored significant advancements in food safety through the application of advanced technologies, particularly machine learning (ML), in pathogen detection. The researchers emphasized ML’s transformative potential in enhancing the speed and accuracy of real-time identification of foodborne pathogens, which could revolutionize food safety practices and significantly improve public health outcomes.
Simulating millions of LLM agents with AgentTorch
Agent-based models (ABMs) are software that simulate the dynamics of populations. ABMs can help analyze past events, evaluate counterfactuals, and predict future effects of policies, assisting in policy questions by simulating how interventions affect individual behaviors and environmental dynamics.