Andrew D. Back Email & Phone Number
@andrewback.com
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Who is Andrew D. Back? Overview
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Andrew D. Back is listed as Adjunct Associate Professor at The University of Queensland, based in Brisbane, Queensland, Australia. AeroLeads shows a work email signal at andrewback.com and a matched LinkedIn profile for Andrew D. Back.
Andrew D. Back previously worked as Advance Queensland Research Fellow at The University Of Queensland And Trusted Autonomous Systems Defence Crc and Research Fellow at The University Of Queensland.
Email format at The University of Queensland
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About Andrew D. Back
Dr Andrew Back has held research fellowships and visiting scientist positions in Australia, the USA, and Japan. He founded a private computational finance company with international bank clients operating on the NYSE and CBOE. Dr. Back has published in numerous journals and authored several book chapters. Since 2017 he has been with The University of Queensland, most recently as an Adjunct Assoc Professor and Advance Queensland Research Fellow within the Trusted Autonomous Systems Defence CRC, and previously with the ARC Centre of Excellence for the Dynamics of Language developing AI for detecting neurological conditions from conversation analysis. He is currently developing synthetic language AI. ORCID 0000-0001-5474-1910The question of how to build more efficient AI is a topic of considerable interest. Do we build ever more complex models requiring larger amounts of data? I suggest that this pathway is not sustainable of feasible. It is reminiscent of the 1920s-1940s race to build faster cars by using ever larger engines. it gets you only so far, but in the end these models collapse. What is required is a better model, not more data. I have been working on a new paradigm for AI where the basis is no longer recognition, but understanding stories and narratives. The concept is that everything is language! Behavior is integrated within the model directly. This work is enabling AI models aimed at understanding trends, behavioral changes and deeper issues than is usually possible with current machine learning techniques. Recently we have developed AI models capable of detecting underlying neurological conditions by analyzing real-time conversation, translating biological agent behavior into human language equivalent, identifying underlying characteristics of dialogs, authorship classification and more - all without prior learning.
Listed skills include Machine Learning, Computational Finance, Data Mining, Matlab, and 30 others.
Andrew D. Back's current company
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Andrew D. Back work experience
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Adjunct Associate Professor
CurrentEverything is language - A new information theoretic approach to AI.
Advance Queensland Research Fellow
Research Fellow
Founder
Senior Research Scientist
Invited Frontier Researcher
Arc Postdoctoral Research Fellow
Invited Visiting Scientist
Research Fellow
Frequently asked questions about Andrew D. Back
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What company does Andrew D. Back work for?
Andrew D. Back works for The University of Queensland.
What is Andrew D. Back's role at The University of Queensland?
Andrew D. Back is listed as Adjunct Associate Professor at The University of Queensland.
What is Andrew D. Back's email address?
AeroLeads has found 1 work email signal at @andrewback.com for Andrew D. Back at The University of Queensland.
Where is Andrew D. Back based?
Andrew D. Back is based in Brisbane, Queensland, Australia while working with The University of Queensland.
What companies has Andrew D. Back worked for?
Andrew D. Back has worked for The University Of Queensland, The University Of Queensland And Trusted Autonomous Systems Defence Crc, Windale Technologies, Katestone Scientific, and Riken.
How can I contact Andrew D. Back?
You can use AeroLeads to view verified contact signals for Andrew D. Back at The University of Queensland, including work email, phone, and LinkedIn data when available.
What skills is Andrew D. Back known for?
Andrew D. Back is listed with skills including Machine Learning, Computational Finance, Data Mining, Matlab, Statistical Modeling, Statistical Data Analysis, Software Development, and Software Project Management.
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