Strong AI Lab
Leading in learning-based general artificial intelligence, with a focus on complex problem solving with Natural Language (NL)
Developing Intelligence with Symbolic AI and Machine Learning
While the Strong AI Lab intends to perform and publish research of the highest, internationally competitive quality, it will also be focusing on the benefit of that research, to New Zealand and to humanity. Locally by collaboration with other researchers in New Zealand and beyond. contributing to a world-class entrepreneurial ecosystem, and globally by aiming towards a good, sustainable and fulfilling future for humanity with AI.
News & Events
AI for good
The Government is investing millions of dollars in the University of Auckland to help understand and unlock the power of artificial intelligence (AI).
New Zealand workshop on AI research calling for submission 2021
NZAIR invite you to participate in the 1st New Zealand Workshop on Artificial Intelligence Research (NZAIR 2021) that will take place on 19th February 2021 in Hobbiton, Matamata, New Zealand.
Ongoing Projects & Research
Speech Emotion Recognition
This project evaluates various emotional speech datasets, and training machine learning models on these datasets.
From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm
The goal is to build up an end-to-end neural based reasoning engine. The existing neural based models lack a reasoning engine, and they are not end-to-end training process. The repository also incorporates extra code for research as part of future work.
Open Domain Interviewing Agent
Interviewing is a critical human-to-human task in multiple industries, including journalism, human resources, and qualitative research fieldwork. Interviewing can be broadly defined as an interactive goal-orientated knowledge acquisition task on a target source....
It’s Never Too Late or Too Early to Get Started
The Strong AI Lab has immediate opportunities for Ph.D. Students, Post-doctoral Fellows, and Senior Research Programmers. You are welcome to contact us.