Machine Learning on STEM to STEAM

Artificial Intelligence

Mon, 01 Jan 0001 00:00:00 +0000

There has been a lot of hype around AI and pharma - how it can reduce costs and remove a lot of manual labor that for sometime was always seen as necessary human activities, that is writing. But now with large language models, AI can really start eroding away at those manual human tasks and launch us into the Industry 5.0 mentality of workers with AI assistance to do their jobs.

Data Science Lifecycle

Mon, 01 Jan 0001 00:00:00 +0000

Mathematician

Mon, 01 Jan 0001 00:00:00 +0000

A mathematician brings analytical rigor, modelling, and statistical insight to interdisciplinary teams. In STEAM, mathematicians collaborate with designers, chemists, and engineers to turn abstract models into real-world solutions.

In the STEAM knowledge graph, the mathematician is anchored in Mathematics and their primary edge is models — they take phenomena from Science and formalize them, then feed optimized outputs back to Technology and Engineering. They also give semantic rigor to Arts through the formalized by relationship.

Predictive Modeling

Mon, 01 Jan 0001 00:00:00 +0000

Machine Learning on STEM to STEAM

Artificial Intelligence

Data Science Lifecycle

Knowledge Graph Connections

Mathematician

Predictive Modeling

Knowledge Graph Connections