Institute · 01

🧠  AI & ML

The Institute for AI & Machine Learning advances the science of intelligent systems — from deep learning theory to safe, aligned AI deployable at civilizational scale. Our three laboratories cover the full spectrum from foundational algorithms to real-world deployment.

Breakthrough · 1,000-Qubit Coherence AchievedCareers · 12 Postdoc Positions OpenAward · Best Paper IEEE S&P 2025Partnership · CERN CollaborationEvent · AI Safety Summit June 2025Grant · $18M NSF Award Green ComputingPublication · Nature Photonics All-Optical NNBreakthrough · 1,000-Qubit Coherence AchievedCareers · 12 Postdoc Positions OpenAward · Best Paper IEEE S&P 2025Partnership · CERN CollaborationEvent · AI Safety Summit June 2025Grant · $18M NSF Award Green ComputingPublication · Nature Photonics All-Optical NN
3Laboratories
24+Researchers
180+Publications
$32MFunding

Laboratories

Three Specialized Laboratories

Each lab operates independently with dedicated staff, shared institute infrastructure, and its own research agenda.

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DLF

Deep Learning Foundations Lab

Dir: Dr. Dominick Rizk

Theoretical and empirical research on deep neural architectures — transformers, diffusion models, sparse networks, and the mathematics of generalization in high dimensions.

Neural Scaling LawsMechanistic InterpretabilitySparse Mixture-of-ExpertsIn-Context Learning Theory
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ASAL

AI Safety & Alignment Laboratory

Dir: Dr. Dominick Rizk

Ensuring that powerful AI systems reliably pursue intended goals. Research spans RLHF, constitutional methods, oversight scalability, and formal specification of human values.

Constitutional AI at ScaleScalable OversightDebate & AmplificationValue Alignment Benchmarks
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LVM

Language, Vision & Multimodal Lab

Dir: Dr. Dominick Rizk

Unified representations across language, vision, audio, and structured data. Research on cross-modal grounding, zero-shot transfer, and embodied language understanding.

Unified Multimodal PretrainingVisual ReasoningAudio-Language GroundingEmbodied Language Agents
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Selected Publications

Recent Research

2025
Flagship 2025 Result — Landmark Contribution to AI & ML Science
Rizk, D. et al. · AI & ML
Nature / Science 2025
Featured Article
2025
Advanced Methods from AI & ML — Theory and Empirical Study
Rizk, D. et al. · AI & ML
Top Conference 2025
Best Paper
2024
Foundational Work Establishing New Paradigms in AI & ML Research
Rizk, D. et al · AI & ML
Flagship Journal 2024
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