Science is transforming profoundly as it converges with modern data engineering and AI. What’s needed is a new type of scientific technologist (we call them Sciborgs) who exists at the nexus of science, scientific data, and AI. They’re fundamentally changing how science gets done.
In this inaugural episode of our new series called Sciborg Sessions, a panel of Tetra Sciborgs will share their firsthand experiences moving from traditional scientific roles into this hybrid discipline. Through concrete examples and AI use cases in critical areas such as bioprocessing (or upstream bioprocessing), they'll demonstrate how Sciborgs enable transformational AI outcomes in the sciences.
Join us as we explore this vital fusion of science and technology catalyzing the scientific AI revolution.