We had the opportunity to hear from Keren Collins, current HPC member and project manager for Neural Cellular Automata and Nyan Kyaw, AI Assistant Lead and project team member. Both Keren and Nyan share their insights from this project which is a collaboration between our High Performance Computing (HPC) and Artificial Intelligence (AI) branches!

In recent years, we have seen the rapid growth of technology and at its centre, Artificial Intelligence (AI), and its innovative and alarming implementation in society. On September 5th 2023, Monash DeepNeuron’s Law and Ethics Committee collaborated with Monash University and AiLECS lab, who are at the forefront of developing AI so that it can assist law enforcement and be utilised to promote community safety, in the industry event, Protecting the Future: Combatting the Online Surge of Child Exploitation.

Join us in our continued mission to increase diversity and promote the incredible efforts of Women in Tech, both in and out of MDN in our new campaign, IGNITE: Inclusive Girls Nurturing Innovation Technology!

We did a short QnA with some of the girls in our team. Here are their answers!

In this competition, we are given two software, one HPC application, and one AI application. In our 2023 APAC competition, MPAS-Atmosphere was chosen as the HPC application, and Bloom as the AI application. Our task is to optimise these softwares to achieve as high a benchmark as possible while staying under compute resource constraints.

Although Australia has begun to settle into its ‘post COVID-19 era’, levels of psychological distress and life satisfaction amongst Australians are still yet to recover to what they were pre-pandemic. Some have referred to this as the ‘shadow mental health pandemic’.

Artificial Intelligence (AI) began stirring controversy in 2022 with the release of Midjourney, which utilises AI and text-to-image generation to allow millions of Discord users to generate art.

[Cover image shared by Twitter user Whyenn (@WhyTheEnn)]

ChatGPT’s launch in November 2022 elicited a wide range of reactions in academic circles. Educational institutions have moved quickly to establish a position on its use in assessments, and Monash University has been no exception.

[image from https://nexus-education.com/blog-posts/unleashing-the-power-of-chat-gpt-in-education/#]

From autonomous vehicles to social media algorithms, the rapid advancements in artificial intelligence (AI) technology have revolutionised many industries - one being healthcare and medicine.

[image from https://iabac.org/blog/the-ethical-implications-of-ai-in-healthcare]

The rise of autonomous vehicles has made exciting waves in the automobile industry. Yet, the increased tendency for Artificial Intelligence (AI) systems to replace human actors has brought a new set of legal and ethical challenges to the table.

[image from https://dda.ndus.edu/ddreview/are-self-driving-cars-safe/]

In this project we investigated, researched and created a portfolio of generative, abstract artwork using GANs (generative adversarial networks), a deep learning technique, with Python and PyTorch.

Consider the following hypothetical: Jane has recently applied for a job as a software engineer at Tech Co. Jane’s application was rejected. Unbeknownst to Jane, Tech Co uses a machine learning system to automate their hiring process. The AI system chose the other applicants, all less experienced and also all male, over Jane.

[image from https://datapopalliance.org/lwl-25-discrimination-in-data-and-artificial-intelligence/]

So, provided you’ve completed the tasks on openMP parallelisation seems pretty chill, it also might seem bottlenecked by the number of cores your computer has, which for largely upscaled problems, one extremely large CPU still cannot outperform many connected individual processors or standalone computers even.

One of the core values of computing is the breaking down of a big problem into smaller and easier to solve problems. In some cases, the steps required to solve the problem can be executed simultaneously (in parallel) rather than serially (in order).

HPC is about aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation. HPC cluster plays a key role to solve computationally heavy and complex tasks such as simulating billions of atoms or training billions of neural network parameters.

Great Earthquakes, with magnitude ≥ 8.0, can unleash forces equivalent to detonating several trillion kilograms of explosives, with impacts on societies and economies that can be felt for decades.

Japan’s magnitude-9.0 earthquake in 2011 was followed by a huge tsunami and triggered the Fukushima nuclear meltdown.

Welcome to HPC blog number 2! This article is all about providing you with the steps and knowledge to use docker on a linux machine (be it a cloud instance like AWS, or a cluster and anything else). For this article we will be using a cloud instance on AWS that is following on from blog 1 (if you haven’t followed through blog 1, feel free to go through that and then come back to this).

Natural language processing is an exciting area that has been making many advances in recent times, such as GPT3 and BERT. These models are widely used in the industry to run all types of applications, such as speech recognition, machine translation, algorithm trading and even code generation.

AWS is an extensive platform that provides a wide range of applications, everything from databases, machine learning, AI and analytics. For our purposes in HPC, we will be using what is called a cloud cluster, to enable access to lots of very fast computers simultaneously, to help complete complex coding tasks quickly.

On 30 July 2021, the Federal Court of Australia decided that AI systems can be inventors. In a word-first determination of Thaler v Commissioner of Patents, the Honourable Justice Beach found that AI systems can be the inventors on a patent application under Australian patent law.

[image: iStockphoto]

How does one determine whether an action is good or bad? Most people use some form of moral framework to rationalise the ‘goodness’ of their decisions.

[image: Atlassian]