Our Most Recent Presentation

Introduction to Theoretical Machine Learning:

Theoretical machine learning/deep learning is an important yet often ignored subfield of AI/ML that drives the intuition behind many powerful AI model design choices. In this discussion, we introduce topics like PAC learning, neural network initialization analysis, and neural network gaussian process results and tie them back to their practical use cases!

Keywords

AlphaFold

10/9/2023

AlphaFold

Transformers Primer

10/9/2023

Transformers Primer

Theoretical ML

12/9/2022

Theoretical ML

Efficient Methods for Deep Learning

4/1/2023

Efficient Deep Learning

PaLM - Pathways Language Model

4/23/2023

PaLM

Physics Inspired Machine Learning

3/24/2023

Physics & ML

DALL-E 2

11/20/2022

DALL=E 2

Meta Learning

6/12/2022

Meta Learning

Minerva

7/3/2022

Minerva