By: Jasmine Chokshi

Re-posted from: https://info.juliahub.com/blog/next-gen-pharmaceutical-modeling-simulation

JuliaHub has recently announced a significant expansion in its commitment to the pharmaceutical sector by doubling its investment in its newly enhanced CFR Part 11-compliant pharmaceutical platform. This move underscores JuliaHub’s dedication to accelerating innovation in drug development and pharmaceutical research through high-performance modeling and simulation.

By: Jasmine Chokshi

Re-posted from: https://info.juliahub.com/blog/a-next-gen-approach-to-modeling

ModelingToolkit.jl is a high-performance modeling framework in Julia that integrates symbolic and numeric computations, to meet the needs of scientific computing and scientific machine learning. It combines elements from symbolic computational algebra systems with both causal and acausal equation-based modeling paradigms, offering an extensible and parallelizable environment for complex system modeling.  

By: Jasmine Chokshi

Re-posted from: https://info.juliahub.com/blog/c-code-generation-julia

For years, a sort of dogma has prevailed in the world of embedded systems and real-time control: if you’re using a high-level language like Python or R for modeling and simulation, you must rewrite your code in C for deployment. But what if there was a better way? What if you could leverage the productivity of high-level languages without sacrificing performance?