Upcoming ACENET Workshops


ACENET has the following training sessions coming up that may be of interest to faculty and students. The sessions are all online and free of charge. Below are descriptions and registration links for upcoming workshops.

 

The Why's and How's of Machine Learning

24 March, 12:00-14:00hrs Atlantic

What do you need to make a machine learning project successful? How can you make smart decisions about setup and execution? How should you hire and support the staff working on the project? We hope to provide clear, thoughtful answers to these, and other common questions to get you thinking about whether machine learning is a technology that you and your company or group should think about investing in. We will discuss topics like data collection, the trade-offs involved in choosing a model, and what to expect from a successful project, as well as how to salvage useful by-products and skills when projects don’t go as planned. This is a beginner session oriented to business owners and project managers curious to learn more about machine learning, or who may have an idea that involves machine learning and want to know where to begin.

 

Introduction to Natural Language Processing

6 April, 12:00-15:00hrs Atlantic

How do computers understand language? It seems impossible that zeroes and ones could ever add up to words that humans can understand, but machine language has come a long way in the past few years. Let us take you behind the code to explain how machines simulate language comprehension, and why it’s a far more complicated problem than “bonjour = hello”. This talk is aimed at an audience who is not necessarily familiar with computers or language comprehension, but would like a primer to the field, and what it can realistically do. We will explain natural language processing from the perspective of machines that cannot understand words, but capture semantic meaning by processing data.

 

Introduction to Neural Network Architecture

20 April, 12:00-15:00hrs Atlantic

Have you wondered how machine learning models can suddenly do so many different types of work? How is it that machines can learn things like language, vision and translation in such a short amount of time, and what has helped drive these kinds of improvements? The obvious answers - big data and big processors - are only part of the story, and to understand the full picture, we need to take a closer look at the models driving the AI revolution. This talk is aimed at people who are familiar with the basics of feed-forward neural networks, and will involve an in-depth explanation of how information is represented for machines to learn from, how machines can make sense of information, and the challenges presented.

 

Modern FORTRAN for Scientific Programming

4 May, 12:00-16:00hrs Atlantic

This workshop will be an introduction to the Fortran programming language. Fortran, one of the initial high-level programming languages, continues to be an excellent option for high-performance computing due to its superb performance. The newer versions of Fortran offer many modern features, including object-oriented programming capabilities to programmers. This course will cover some of these features. Prerequisite: familiarity with another programming language.


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