Conference: AI & Human Enhancement – Understanding the Future – Early 2020
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Conference: AI & Human Enhancement – Understanding the Future – Early 2020

ByAdam Ford

Introduction Overview The event will address a variety of topics futurology (i.e. accelerating change & long term futures, existential risk, philosophy, transhumanism & ‘the posthuman’) in general though it will have a special focus on Machine Understanding. How will we operate along side artificial agents that increasingly ‘understand’ us, and important aspects of the world…

7th Annual Conference of the Australasian Bayesian Network Modelling Society (ABNMS2015)
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7th Annual Conference of the Australasian Bayesian Network Modelling Society (ABNMS2015)

ByAdam Ford

November 23 – 24, 2015: Pre-Conference Workshop November 25 – 26, 2015: Conference [Official Website Here] Location: Monash University, Caulfield, Melbourne (Australia) Promo vid | Contact: abnms2015@abnms.org Keynote Speakers: The conference organisers are pleased to announce that Dr Bruce Marcot of the US Forest Service, Dan Ababei from Lighttwist Software, Netherlands and Assoc Prof Jonathan…

Automating Science: Panel – Stephen Ames, John Wilkins, Greg Restall, Kevin Korb
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Automating Science: Panel – Stephen Ames, John Wilkins, Greg Restall, Kevin Korb

ByAdam Ford

A discussion among philosophers, mathematicians and AI experts on whether science can be automated, what it means to automate science, and the implications of automating science – including discussion on the technological singularity. – implementing science in a computer – Bayesian methods – most promising normative standard for doing inductive inference – vehicle : causal…

Science vs Pseudoscience – Kevin Korb
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Science vs Pseudoscience – Kevin Korb

ByAdam Ford

Science has a certain common core, especially a reliance on empirical methods of assessing hypotheses. Pseudosciences have little in common but their negation: they are not science. They reject meaningful empirical assessment in some way or another. Popper proposed a clear demarcation criterion for Science v Rubbish: Falsifiability. However, his criterion has not stood the…