Assistant Professor of Computer Science, University of South Carolina
Forest Agostinelli's research involves designing new artificial intelligence algorithms and applying these algorithms to problems in the sciences. Simultaneously, his research draws upon the sciences to provide inspiration for new artificial intelligence algorithms.
His research interests include:
Deep learning: Neural network architectures, learning activation functions
Reinforcement learning: deep RL, model-based RL
Search: Learning heuristics, large state spaces, theoretical guarantees
His application interests include:
Logic: Puzzle solving, theorem proving
Bioinformatics: Circadian rhythms, protein folding
Neuroscience: Hippocampus and memory
High energy physics: Identifying exotic particles
Chemistry: Molecular optimization, retrosynthesis
Jan 14, 2021 04:58 am UTC| Science
The field of artificial intelligence (AI) has created computers that can drive cars, synthesize chemical compounds, fold proteins and detect high-energy particles at a superhuman level. However, these AI algorithms...