Innovation in AI
What We Do
The Kempner Institute is dedicated to forging transformative AI capabilities that yield meaningful societal and technological impacts. We develop cutting-edge AI solutions, explore novel data sources, and delve into new application domains. Our recent work in this area includes advancing machine learning in resource-limited environments, particularly for on-device applications, navigating issues of copyright and watermarking in generative AI, and creating new opportunities for applications of ML architectures in bioengineering and drug design.
New AI Approach Advances Diagnoses of Rare Diseases
Kempner Institute Associate Faculty Member Marinka Zitnik introduces SHEPHERD, a few-shot learning AI framework that leverages knowledge graphs enriched with information about rare diseases in hopes to aid clinicians with diagnoses of over 70,000 rare diseases. Tested on real-world cohorts, SHEPHERD excels across diagnostic tasks showing the power of AI’s ability to transform rare disease medicine.
Research Projects
AI for Capturing Molecular Interactions
ATOMICA: Learning Universal Representation of Molecular Interactions
Kempner researchers have generated a model that captures intermolecular interactions across all molecular modalities – proteins, nucleic acids, small molecules, and ions.
Models to Explain Neural Activity
Mechanistic Interpretability: A Challenge Common to Both Artificial and Biological Intelligence
Researchers at the Kempner have developed a family of interpretable models to explain neural activity in structured settings.
Alignment in Large Language Models
Alignment Reduces Conceptual Diversity of Language Models
Researchers have found a new way to measure conceptual diversity from generated LLM “populations” to investigate if LLMs can capture conceptual diversity of human populations.
