Biologically Informed Artificial Intelligence
Biologically Informed Artificial Intelligence
Advancing AI with neuroscience and engineering
Machine intelligence, though advanced, is far from human. Since 2021, the BIAI Working Group has used human behavior and neuroscience to inspire artificial intelligence. Researchers in this group also hope to enhance the behavioral sciences with principles learned from computational intelligence.
Biologically Informed Artificial Intelligence
Advancing AI with neuroscience and engineering
Machine intelligence, though advanced, is far from human. Since 2021, the BIAI Working Group has used human behavior and neuroscience to inspire artificial intelligence. Researchers in this group also hope to enhance the behavioral sciences with principles learned from computational intelligence.
Cognition meets computer
Computer scientists, engineers and those in the cognitive, biological and behavioral sciences have much to offer AI. Members of this group are increasing collaboration among those study human behavior and neuroscience and those developing artificial intelligence. The Illinois campus is the perfect place to forge these connections.
Fostering creativity through collaboration
The BIAI working group hosted two Bio-informed AI Research Competitions. Graduate and undergraduate students created a product and answered a research question or solved a problem that required knowledge from the cognitive, biological and computer sciences. The contest inspired continuing faculty collaborations.
In addition, the BIAI working group and the Beckman Institute in collaboration the Institute for Genomic Biology hosted an AI for Basic Science Workshop. The event brought together 79 attendees from 29 departments to discuss possible collaborations between scientists in the biological and behavioral sciences and scientist working in AI to find ways for AI to enhance basic science. The event was a springboard for an AI for Science initiative on campus.
Group leaders
- Diane M. Beck
Labs within this group
- Speech Accessibility Project data leads to recognition improvements on Microsoft Azure
- Beckman researchers receive two NIH grants to study infant development with innovative LittleBeats method
- Stefan Uddenberg joins Beckman faculty
- Speech Accessibility Project expands to Canada
- Automatic speech recognition learned to understand people with Parkinson’s disease — by listening to them
- Karen Tabb Dina co-leads effort to address perinatal metal health issues
Beckman Institute for Advanced Science and Technology