Mr. Ty Roachford, a Ph.D. student studying Theoretical and Computational Neuroscience in FAU’s Machine Perception and Cognitive Robotics Laboratory and the Rubin and Cindy Gruber Sandbox, will be presenting his research at the International Association for Perceptual Control Theory (IAPCT)
Ph.D. candidate Jennifer Giordano, affiliated with the Gruber AI Sandbox, has been selected as a Stiles-Nicholson Brain Institute Fellow for Spring 2024. Her research focuses on processing encrypted medical imaging data using AI — designing models that can analyze medical information without decryption vulnerabilities.
Michael Ostroff, a physics Ph.D. student in FAU’s Machine Perception and Cognitive Robotics Laboratory and the Rubin and Cindy Gruber Sandbox, landed a coveted position at the Wolfram Summer School this year.
Congratulations to Mr. Morgan Benavidez on receiving the prestegious, National Science Foundation (NSF) S-STEM Scholarship Award! Over 36 students applied for these scholarships with 7 of the most highly qualified recieving them. We are proud of you for being one of the seven recipients. -- Stella Batalama, Dean of the College of Engineering and Computer Science
An open letter published on March 22, 2023 calls for Al labs to immediately pause for at least 6 months the training of Al systems more powerful than GPT-4. In response, Yudkowsky argues that this proposal does not do enough to protect us from the risks of losing control of superintelligent AI. Join us for an interactive Q&A with Yudkowsky about Al Safety! Dr. Mark Bailey of National Intelligence University will moderate the discussion.
The intersection of artificial life (ALife), artificial intelligence (AI), and the Fermi Paradox presents a unique opportunity to explore the synthesis of existence from both terrestrial and extraterrestrial perspectives. The “Synthesizing Existence: ALife, AI, and the Fermi Paradox Workshop” aims to bring together experts from diverse fields, including astrobiology, AI research, ALife, and philosophy, to delve into the challenges and opportunities arising from our understanding of life and intelligence in the universe.
This course we will be a hand on approach teaching students how build Artificial 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!
