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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

C. Messina

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Open access Sep 2026

Targeted breeding for drought-prone environments.

Key components of targeted breeding for drought-prone environments are discussed. The "Breeder's Equation" provides a framework to operationalise technologies that improve predictive breeding and accelerate genetic gain. Multi-Environment Trials (METs) are used to evaluate genotypes and construct training data sets for...

M. Cooper, C. Messina, D. Ortiz-Barrientos et al. · 0 citations
#machine learning Preprint May 2026

Uncertainty-aware neural emulation reveals climate-resilient maize traits at scale

A probabilistic neural emulator of APSIM is developed that reproduces key maize growth processes across 13 outputs with high fidelity while reducing simulation time while demonstrating how uncertainty aware emulation transforms mechanistic crop simulation from a computational bottleneck into an on demand discovery engi...

M. Saadati, Juan S. Panelo, G. Visentini et al. · 0 citations
Preprint Jul 2026

Agentic AI Orchestration of Heterogeneous Economic Models for Rapid, Multi-scenario Analysis of Energy Crises

A LLM framework that coordinates 16 models of oil, natural gas, shipping, water, helium, fertilizer and macroeconomic equilibrium is developed that mobilizes distributed scientific models rapidly during energy and geopolitical disruptions while keeping any single model's assumptions from driving the conclusion.

Dana Golden, Brett Indelicato, L. Varshney et al. · 0 citations

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