Content by Aseem Datar (3)

Aseem Datar explains how Microsoft Discovery applies agentic AI to scientific and engineering R&D, focusing on adaptive reasoning loops that explore multiple hypotheses, preserve evidence, and decide when to change strategy or involve domain experts. The post also highlights benchmark results for Discovery Engine with CLIO across several scientific domains.

Aseem Datar announces Microsoft Discovery general availability and a preview of the Microsoft Discovery desktop app, focusing on how the platform supports governed, reproducible agentic AI workflows for scientific and engineering R&D across evidence, tools, and iterative experimentation.

Aseem Datar announces expanded preview access for Microsoft Discovery, an Azure-based agentic AI platform for R&D. The post explains how Discovery combines agent orchestration, graph-based knowledge, and HPC to run iterative “discovery loops,” and shares early customer examples in materials science, oncology research, engineering simulation, and chip design.