Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

Population pharmacokinetic (PopPK) models are crucial for understanding drug behaviour across populations, yet traditional development is often labour-intensive and slow. This study demonstrates an ...

Natural Language Processing (NLP), stands as a pivotal domain within artificial intelligence, enabling machines to interpret and generate human language. This note delves into the intricacies of NLP, ...

Welcome! This repository encapsulates all materials that I created for the course ISE-364 / 464, titled "Introduction to Machine Learning". This includes all original lecture slides as well as ...

The widespread adoption of machine learning and other matrix intensive computing algorithms has renewed interest in analog optical computing, which has the potential to perform large-scale matrix ...

Golgi is one of the components of the inner membrane system in eukaryotic cells. Its main function is to send the proteins involved in the synthesis of endoplasmic reticulum to specific parts of cells ...

As a data-driven dimensionality reduction and visualization tool, t-distributed stochastic neighborhood embedding (t-SNE) has been successfully applied to a variety of fields. In recent years, it has ...

The purpose of this project is to provide insight in the comparative performance of classifiers using the prevalent machine learning algorithms and feature extraction techniques in the field of ...