← All Research Areas
Foundations of Learning
The mathematical and theoretical principles behind modern AI.
Theoretical foundations of machine learning, including learning theory, optimization, and the principles enabling efficient inference at the scale of modern foundation models.
Labs in Foundations of Learning
OO
Ordentlich Lab — Prof. Or Ordentlich
Develops optimal quantization methods for large language model weights and matrix multiplication, advancing efficient inference for large-scale AI models.
AD
Daniely Lab — Prof. Amit Daniely
Works on foundational theoretical questions in machine learning, studying the mathematical principles underlying learning algorithms and their capabilities.