This course we will be a hand on approach teaching students how build Artifical Intelligence systems for use in science and in medicine. We will explore the latest advances in AI technology, and how they can be applied to the fields of science and medicine. We will also cover topics such as machine learning, deep learning, neural networks, classifiers, complexity models and more. This class will be taught by an experienced AI expert Dr. William Hahn, and will provide a comprehensive overview of the technology and its applications with working code you can use for your projects/research. Enroll now and learn the cutting-edge skills needed to work in the fast-developing field of AI in science and medicine!

Congratulations to Dr. Asal Nouri on defending her dissertation, “Mechanisms of Selective Attention in Working Memory, Modeled from Human’s Alpha Band Oscillations” concluding her final degree requirement. Asal will be awarded her Ph.D. in Complex Systems and Brain Sciences at Florida Atlantic Unictersity’s Spring 2023 commencement ceremony in May.

Congratulations to Asal Nouri, a Ph.D. student in Complex Systems and Brain Sciences at the MPCR Lab, for winning a College of Science (CoS) Jumpstart Postdoctoral Fellowship at the Gruber Sandbox for our upcoming team work on ‘Rebooting Social Media’ with Drs. Chad Forbes, Garrett Mindt, Steven Gubka, and others!

Congratulations to Stephen Hoover, a Ph.D. student at the MPCR lab and at the Center for the Future Mind. Stephen was just offered a summer internship at the Naval Postgraduate School Department of Mechanical and Aerospace Engineering.

Congratulations to Giovanni Michel, a student member of the MPCR lab and the Center for the Future Mind. Giovanni was just admitted to Northwestern University’s Ph.D. program in Engineering, with a specialization in electrical engineering relating to his work in the Sandbox.

Congratulations to Dr. Paul Morris for successfully defending his dissertation, “Computation in Self-Attention Networks”.

Congratulations to Dr. Michael Teti for successfully defending his dissertation on “Cracking the Sparse Code: Lateral Competition Forms Robust Vl-Like Representations in Convolutional Neural Networks”.