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February e-newsletter update out now

We are New Zealand data and environmental scientists using artificial intelligence to solve some of the biggest environmental issues facing New Zealand.

A year in review

Take a look at what the TAIAO team were able to achieve in 2025.

Datasets and Notebooks

Click on the links to find or share notebooks and datasets.

Find a notebook
Share a notebook

Project Highlights

Check out what's trending for TAIAO this month including educational resources and a new podcast series!

Latest News

May newsletter

In this newsletter, you’ll find more information about: 

  • International Conference on Learning Representations (ICLR)

  • QML Podcast episode

  • Project Team spotlight

  • What’s coming up 

April newsletter

In this newsletter, you’ll find:

  • New podcast episode - do quantum models really work?

  • A new TAIAO Talks episode - exploring weka.ai

  • Research & Publications page

  • What’s coming up

Winners of the World Bank Climate Risk Challenge 

A big congratulations to Léa Cassé and the DelphiQ team who were recently announced as the winners of the Global Industry Challenge – World Bank track at the Quantum World Congress 2025 for their innovative solution to improving insurance for communities exposed to flooding.

PRICAI & AIRA 2025

TAIAO is proud to have been a part of the AIRA & PRICAI conferences in Wellington. 

The team were excited to meet with others in the artificial intelligence research community to discuss the latest advances in this rapidly growing field and share the work that that we have been undertaking as part of the TAIAO project.

An initiative supported by the Ministry of Business, Innovation and Employment (MBIE), TAIAO is committed to promoting and facilitating the adoption of artificial intelligence (AI) and data science in New Zealand's environmental sector. 

Recognising that good data is essential to research, understand, and set policy for effective management of our natural environment, the team at TAIAO are working to develop new machine learning methods that are tailored to process environmental data gathered from our New Zealand context.

TAIAO uses AI models to analyse vast amounts of historical and real-time data, and identify patterns to predict future trends, such as extreme weather events. Through this mahi, we aim to break barriers by enhancing industry capability, and pioneer new machine learning methods to process vast amounts of data in real-time to meet today's pressing demands.

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