Research from the aKin Team

November 1, 2021

Generative AI Research from Prof Alan Blair Chief Science advisor

http://www.cse.unsw.edu.au/~blair/publications.html

April 22, 2021

MPATH: Continuous Learning with Membrane Potential and Activation Threshold Homeostasis

Most classical (non-spiking) neural network models disregard internal neuron dynamics and treat neurons as simple input integrators.

December 14, 2020

aKin wins significant space agency grant for ‘AI crew for Space’.

The Australian Space Agency has awarded aKin a grant to build helper and inspector robots, and an AI habitat manager.

August 8, 2019

Limbic scaffolding: bridging the gap between AI and robotics

What would we gain from a robot that has all the perceptual capabilities and dexterity of a human as well as a mind that can make use of those capabilities? Read more.

July 3, 2019

Epigenetic evolution of deep convolutional models

Winner of the Outstanding Student Paper Award at the 2019 IEEE Congress on Evolutionary Computation.

June 29, 2019

Complexity-based speciation and genotype representation for neuroevolution

Joint paper by Alexander Hadjiivanov and Alan Blair. Introduction of a speciation principle for neuroevolution where evolving networks are grouped into species based on the number of hidden neurons, which is indicative of the complexity of the search space.

June 8, 2019

Adaptive conversion of real-valued input into spike trains

This paper presents a biologically plausible method for converting real-valued input into spike trains for processing with spiking neural networks.

May 5, 2019

The Importance of Being (L)earnest

The benefit of biological inspiration in machine learning and natural language processing.

November 20, 2018

Continuous adaptive learning for neural networks

This study presents a biologically plausible method (based on the operation of the mammalian retina) which can convert raw input continuously into a form that is suitable for both the training and deployment stages of neural networks.

May 1, 2018

Start with a billion users in mind

Liesl Yearsley, CEO of aKin, wants to drive the co-evolution of Artificial Intelligence as society’s companion and a tool to enable positive progress for all. Read the full article here.

Liesl Yearsley, CEO and founder of aKin | Overview of research

Overview of research by Liesl Yearsley, founder and CEO of aKin and CEO/Founder of three previous successful companies.

Research

IBM Watson Acquires Artificial Intelligence Startup Cognea

Liesl Yearsley CEO

2014

Via: Tech Crunch

Cyberpersonalities in artificial reality

Liesl Yearsley CEO

2014

Invention patent concerning cyberpersonalities, including their and varied use in artificial reality.

Published: U.S. Patent Office.

Social Intelligence

Liesl Yearsley CEO

2008

Invention patent concerning social intelligence, that is artificial intelligence about the behaviour of individuals or groups, and in particular a method for operating a computer interface to analyse unstructured online content generated by a user to produce a profile of a user.

Published: Google Patents

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CLIVE-An Artificially Intelligent Chat Robot for Conversational Language Practice

Liesl Yearsley CEO

2008

Paper presenting artificially intelligent chat robot, for foreign language acquisition, CLIVE.

Published: SETN: Hellenic Conference on Artificial Intelligence conference

An Enhanced Generic Automated Marking Environment: GAME-2

Dr. Steve Green PhD; Chief Research Officer

2007

In this paper we describe an extension of the Generic Automated Marking Environment (GAME-2) and provide an analysis of its performance in assessing student programming projects.

Published: IEEE Multidisciplinary Engineering Education Magazine, Vol. 2.

Performance Analysis of GAME: A Generic Automated Marking Environment

Dr. Steve Green PhD; Chief Research Officer

2008

This paper describes the Generic Automated Marking Environment (GAME) and provides a detailed analysis of its performance in assessing student programming projects and exercises.

Published: Computers and Education, Vol. 50

A Comparison of Neural-based Techniques Investigating Rotational Invariance for Upright People Detection in Low Resolution Imagery

Dr. Steve Green PhD; Chief Research Officer

2007

This paper describes a neural-based technique for detecting upright persons in low-resolution beach imagery in order to predict trends of tourist activities at beach sites.

Published: Australasian Joint Conference on Artificial Intelligence

Extensions to Generic Automated Marking Environment: Game-2+

Dr. Steve Green PhD; Chief Research Officer

2009

This paper describes the Generic Automated Marking Environment (GAME-2+), which is the extension of GAME-2 and provides an analysis of its performance in assessing student programming projects.

Published: Proceedings of the Interactive Computer Aided Learning Conference (ICL 2009)