Teddy Koker

This blog post accompanies our recent paper PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials.

Note: this is condensed version of a project for course 6.7960.

One interesting application area of AI in the sciences is quantum chemistry.

Gradient-descent-based optimizers have long been used as the optimization algorithm of choice for deep learning models.

When training a Deep Learning model, one must often read and pre-process data before it can be passed through the model.

Google AI recently released a paper, Rethinking Attention with Performers (Choromanski et al., 2020), which introduces Performer, a Transformer architecture which estimates the full-rank-attention mechanism using orthogonal random features to approximate…

Since the 1940s, electric guitarists, keyboardists, and other instrumentalists have been using effects pedals, devices that modify the sound of the original audio source.

This post is the first in a series of articles about natural language processing (NLP), a subfield of machine learning concerning the interaction between computers and human language.

Inspired by the story of Bill Benter, a gambler who developed a computer model that made him close to a billion dollars (Chellel, 2018) betting on horse races in the Hong Kong Jockey Club (HKJC), I set out to see if I could use machine learning to identify

In this post we will be using a method known as transfer learning in order to detect metastatic cancer in patches of images from digital pathology scans.