Physics Dept Seminar

March 24, Tuesday (*SPECIAL DAY*)

The Universal Machine:

AI as an Accelerant for Scientific Discovery

Dr. Barry Cohen, NJIT

(Research tools, Host: Tao Zhou)

Time: 11:45 am - 12:45 pm with 11:30 am teatime

Room: ECE 202

In the span of a single century, the theoretical concept of the "Universal Machine" has evolved into the dominant technology in the scientific toolbox. Yet, like any powerful tool, Artificial Intelligence presents a dual nature to the researcher: it is simultaneously an extension of the user’s intent and an external, complex system that must be mastered to avoid subtle but catastrophic pitfalls.

This seminar is designed as an "external force" (in the Newtonian sense) for graduate researchers. Its goal is to accelerate the transition from "student at rest" to "investigator in motion." We will examine AI not as a magic box, but as a methodological instrument that—when wielded with precision—can dramatically compress the timeline of scientific inquiry.

To demonstrate this acceleration in real-time, I will present the pilot results of an active, unscripted investigation: "Genotypic Assortative Mating at the APOE Locus." This case study uses modern AI tools to interrogate large-scale genomic datasets for evidence of social selection pressures on Alzheimer’s risk alleles. This is not a polished "post-mortem" of a finished project, but a live look at the messy, high-stakes frontier of modern biological data analysis.

Attendees will leave with a concrete understanding of how to integrate these universal tools into their own workflows, how to navigate the risks of "phantom correlations," and how to push their own unscripted research adventures forward.