Categories

Top Python Libraries for Data Visualization (Static and Interactive Visualization)

Basically, We aren’t naturally good at storytelling with data. Data visualization helps us shorten our time to understand and explain the insights contained in our data. So what exact...

Data Science Learning Resources

Data science is a popular field and garners a lot of interest. Whether you’re looking to become a data scientist or leverage data science skills in your current role, “where should I ...

Data Science Learning Resources

Data science is a popular field and garners a lot of interest. Whether you’re looking to become a data scientist or leverage data science skills in your current role, “where should I ...

How Does ChatGPT Obtain its Ability?

Recently, the field has been greatly impressed and inspired by OpenAI’s ChatGPT. It is undoubtedly clever, capable, and very fun to talk to. Its multi-faceted abilities are significan...

Top Python Libraries for Data Visualization (Static and Interactive Visualization)

Basically, We aren’t naturally good at storytelling with data. Data visualization helps us shorten our time to understand and explain the insights contained in our data. So what exact...

How Does ChatGPT Obtain its Ability?

Recently, the field has been greatly impressed and inspired by OpenAI’s ChatGPT. It is undoubtedly clever, capable, and very fun to talk to. Its multi-faceted abilities are significan...

How ChatGPT Works: The Model Behind The Bot

Advances, Challenges and Opportunities in Creating Data for Trustworthy AI

As artificial intelligence (AI) transitions from research to deployment, creating the appropriate datasets and data pipelines to develop and evaluate AI models is increasingly the big...

A Snapshot of the Frontiers of Fairness in Machine Learning

The last decade has seen a vast increase both in the diversity of applications to which machine learning is applied, and to the import of those applications. Machine learning is no lo...

Lakehouse: The Convergence of Data Warehousing, Data Science and Data Governance

The growing demands of the 5V’s of big data have rendered traditional data warehouse architecture insufficient, leading to the emergence of the data lakehouse as a new architectural d...

Advances, Challenges and Opportunities in Creating Data for Trustworthy AI

As artificial intelligence (AI) transitions from research to deployment, creating the appropriate datasets and data pipelines to develop and evaluate AI models is increasingly the big...

A Snapshot of the Frontiers of Fairness in Machine Learning

The last decade has seen a vast increase both in the diversity of applications to which machine learning is applied, and to the import of those applications. Machine learning is no lo...

Welcome to Archive of Information Resilience!

Welcome to the Archive of Information Resilience! Our goal is to provide you with a comprehensive collection of knowledge and resources on Information Resilience. This website serves ...

LLMs Reading Group Series: Aligning Large Language Models with Human

The theme of the Large Language Models (LLMs) reading group’s fifth presentation is about human alignment. Hongliang, the presenter for this session, covered instruction generation me...

ML Reading Group Series: Self-Supervised Contrastive Learning in Computer Vision

During the second presentation of the Machine Learning reading group, Hrishikesh covered the topic of Contrastive Self-Supervised Learning in the realm of computer vision.

LLMs Reading Group Series: LLMs and Their Applications

During the fourth presentation of the LLM reading group, our PhD student Huy Nguyen introduced ChatGPT and its applications.

ML Reading Group Series: Data Distillation

In the first ML reading group, Dr. Junliang Yu introduced data distillation (a.k.a. dataset distillation). Data Distillation aims to generate a more compact and representative dataset...

LLMs Reading Group Series: Language Models for Information Retrieval

During the third presentation of the LLM reading group, Dr. Shengyao Zhuang from CISRO provided an overview of the use LLM architectures in information retrieval.

Computational Social Science Reading Group Series: AI-enabled knowledge sharing and learning: redesigning roles and processes

Here at Swinburne, we just hosted our second Computational Social Science Reading group with the collaboration of colleagues at University of Queensland, part of Centre for Informatio...

LLMs Reading Group Series: Architectures of Language Models

During the second presentation of the LLM reading group, Hrishikesh provided an overview of popular LLM architectures, specifically focusing on BERT, GPT, and T5.

LLMs Reading Group Series: Introduction to Large Language Models

Junliang initiated the discussion about large language models (LLMs), which is based on the papers: “Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond” and “A S...

Computational Social Science Reading Group Series: Interacting with Opinionated Language Models to Change Users' Views

This Tuesday, Hui, the postdoc research fellow at CTI, hosted the first AI reading group at Swinburne University of Technology AMDC building. The participants included Ph.D. students ...

Reading Group: How to Develop and Use AI in a Responsible Way

Krishna Dermawan initiated the discussion about responsible AI, which is based on the book: “Responsible Artificial Intelligence How to Develop and Use AI in a Responsible Way”. In th...

Reading Group: How to Develop and Use AI in a Responsible Way

Krishna Dermawan initiated the discussion about responsible AI, which is based on the book: “Responsible Artificial Intelligence How to Develop and Use AI in a Responsible Way”. In th...

Computational Social Science Reading Group Series: AI-enabled knowledge sharing and learning: redesigning roles and processes

Here at Swinburne, we just hosted our second Computational Social Science Reading group with the collaboration of colleagues at University of Queensland, part of Centre for Informatio...

Computational Social Science Reading Group Series: Interacting with Opinionated Language Models to Change Users' Views

This Tuesday, Hui, the postdoc research fellow at CTI, hosted the first AI reading group at Swinburne University of Technology AMDC building. The participants included Ph.D. students ...

Computational Social Science Reading Group Series: Interacting with Opinionated Language Models to Change Users' Views

This Tuesday, Hui, the postdoc research fellow at CTI, hosted the first AI reading group at Swinburne University of Technology AMDC building. The participants included Ph.D. students ...

ML Reading Group Series: Data Distillation

In the first ML reading group, Dr. Junliang Yu introduced data distillation (a.k.a. dataset distillation). Data Distillation aims to generate a more compact and representative dataset...

LLMs Reading Group Series: Language Models for Information Retrieval

During the third presentation of the LLM reading group, Dr. Shengyao Zhuang from CISRO provided an overview of the use LLM architectures in information retrieval.

LLMs Reading Group Series: Introduction to Large Language Models

Junliang initiated the discussion about large language models (LLMs), which is based on the papers: “Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond” and “A S...

ML Reading Group Series: Self-Supervised Contrastive Learning in Computer Vision

During the second presentation of the Machine Learning reading group, Hrishikesh covered the topic of Contrastive Self-Supervised Learning in the realm of computer vision.

LLMs Reading Group Series: Architectures of Language Models

During the second presentation of the LLM reading group, Hrishikesh provided an overview of popular LLM architectures, specifically focusing on BERT, GPT, and T5.

Computational Social Science Reading Group Series: AI-enabled knowledge sharing and learning: redesigning roles and processes

Here at Swinburne, we just hosted our second Computational Social Science Reading group with the collaboration of colleagues at University of Queensland, part of Centre for Informatio...

ML Reading Group Series: Self-Supervised Contrastive Learning in Computer Vision

During the second presentation of the Machine Learning reading group, Hrishikesh covered the topic of Contrastive Self-Supervised Learning in the realm of computer vision.

ML Reading Group Series: Data Distillation

In the first ML reading group, Dr. Junliang Yu introduced data distillation (a.k.a. dataset distillation). Data Distillation aims to generate a more compact and representative dataset...

LLMs Reading Group Series: LLMs and Their Applications

During the fourth presentation of the LLM reading group, our PhD student Huy Nguyen introduced ChatGPT and its applications.

LLMs Reading Group Series: Aligning Large Language Models with Human

The theme of the Large Language Models (LLMs) reading group’s fifth presentation is about human alignment. Hongliang, the presenter for this session, covered instruction generation me...

Hechuan's Paper accepted by ICDM

Congratulations Hechuan! 🎉🎉🎉

Hechuan's Paper accepted by ICDM

Congratulations Hechuan! 🎉🎉🎉