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Welcome to Knowledge Auckland


We provide research, information, analysis and data about

Auckland's communities, the Auckland economy and the Auckland environment.

This website is managed by Auckland Council's

Research and Evaluation Unit, RIMU


Please also visit RIMU's special websites for expert data and research information:
Auckland counts for Auckland's census data
Auckland economic profile for information about Auckland's economy
Environmental data online and State of Auckland 
for Auckland environment data and the State of Auckland report cards
Auckland Council technical publications are also published on the council's website

 

The holy grail: new porous materials with beautiful structures and unparalleled functions

Date: 26 April 2017 7:00pm - 26 April 2017 8:30pm

Venue: Massey University, Albany, Sir Neil Waters Lecture Theatre

Speakers: Professor Shane Telfer

Porous materials have fascinated humankind since the Greeks discovered zeolites: stones that could give off water. Of late, a new class of porous crystals has been discovered.

Known as metal-organic frameworks, they have beautiful architectures that can be tuned at the molecular dimension.

The structures and applications of these materials is only limited by the imagination. Can they be used to sequester CO2 directly from air? Is the targeted delivery of bioactive payloads in the human body possible? Find out what we know, and what we hope to find out, about these fascinating materials.

Role of whānau in youth mentoring relationships

Date: 1 May 2017 12:00pm - 1 May 2017 1:30pm

Venue: University of Auckland, Epsom, A201a, upstairs A block, 74 Epsom Avenue, Auckland

Speakers: Seminar discussion

AI: from Aristotle to deep learning machines

Date: 4 May 2017 6:30pm - 4 May 2017 8:00pm

Venue: Auckland University, 260.092 (OGGB3), Level 0. Owen G Glenn Building, 12 Grafton Road

Speakers: Professor Nikola Kasabov

Gibbons Lectures - AI: From Aristotle to Deep Learning Machines 

The talk presents briefly the main principles used in AI, from Aristotle’s true/false logic, through fuzzy logic, evolutionary computation and neural networks, to arrive at the current state-of-the-art in AI – the deep learning machines. One particular such machine, developed in the presenter’s KEDRI Institute and dubbed NeuCube, is designed for deep learning of complex data patterns so as to predict future events. It uses the latest AI technique called spiking neural networks (SNN) that mimics the learning capabilities of the human brain. NeuCube has already demonstrated its usefulness when dealing with Big Data such as brain EEG and fMRI data; brain-computer interfaces; seismic data; and environmental data for stroke prediction. This is the beginning of understanding complex patterns of changes of variables in space and time and their relevance to future events. It will have a significant impact on our understanding of the dynamics of the micro and the macro worlds with particular application in medicine.

Nikola Kasabov hails from Bulgaria where he received his PhD (Mathematical Sciences) in 1975 from the Technical University of Sofia.

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