A Brief History of AI: Past, Present and What You Can Expect in the Immediate Future
This event is in the past.
Noon to 1 p.m.
The Wayne State University School of Medicine Office of Faculty Affairs and Professional Development welcomes all members of our community to join us for a special interactive discussion:
A Brief History of AI: Past, Present and What You Can Expect in the Immediate Future
Artificial Intelligence (AI) has evolved dramatically since 1943, when the first mathematical model of a neuron laid the groundwork for neural networks. From early attempts in the 1950s–60s to mimic human learning, through setbacks during the “AI winter,” to breakthroughs in deep learning and transformer architectures, AI’s journey reflects continual innovation driven by data and computing power. Today’s Large Language Models (LLMs), built on the same core principles as the original neuron model, operate on an unprecedented scale—using attention mechanisms to connect vast networks of artificial neurons and enable reasoning, creativity, and language understanding. This webinar explores that remarkable evolution and what it means for the future of intelligent systems.
Learning Objectives
- Discuss demystifying how Large Language Models (LLMs) work.
- Describe how LLMs generate responses through probabilistic associations rather than comprehension.
- Review the principles behind LLMs and examine how to integrate these models effectively into your research.
When: Monday, December 15, 2025
Time: 12 p.m. - 1:00 p.m.
Location: ZOOM
Moderators:
Teena Chopra, M.D., MPH
Assistant Dean of Faculty Development and Coaching, Clinical Professor and Director of Epidemiology and Antibiotic Stewardship
Basim Dubaybo, M.D.
Vice Dean of Faculty Affairs
Guest Speaker:
Domenico Gatti, MD PhD
Domenico Gatti is Associate Professor of Biochemistry, Microbiology and Immunology at the School of Medicine of WSU. He earned his MD degree at the Catholic University of S. Cuore in Rome (Italy), and his Ph.D. in Biochemistry at the University of Bari (Italy). He completed post-doctoral training in molecular genetics at Columbia University (New York), and in structural biology at the Univ. of Michigan (Ann Arbor). Since at WSU he has contributed to the formation of the Michigan Science Collaborative Access Team that administers structural biology facilities at the Argonne National Laboratories for the benefit of Michigan public universities. Most recently, Dr. Gatti has shifted his focus from experimental to computational research, and has developed advanced courses of computational biology, machine learning, and artificial intelligence for PhD and Master students at the School of Medicine of WSU.
Speakers: Have no commercial/financial relationships
Planning Committee Members: Basim Dubaybo, M.D. (Activity Director), Teena Chopra, M.D., Lauren Hamel, M.D., Radhika Gogoi, M.D., Kate Laimbeer and Kailah Weatherspoon have no commercial/financial relationships.
Target Audience: Wayne State University School of Medicine faculty, staff, medical students, fellow and residents
The Wayne State University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The Wayne State University School of Medicine designates this live activity for a maximum of 1 AMA PRA Category 1 Credit (s) TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Disclosure of Conflicts of Interest: This program is not related to specific diseases or conditions but rather deal exclusively with non-clinical medical education. Therefore, there are no potential conflicts of interest with ineligible companies as defined by ACCME, and there is no need to identify, disclose or mitigate commercial conflicts of interest.
Contact
Kate Laimbeer
3135770216
gq1362@wayne.edu