Articles on Algorithm

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Cracking big data with statistical physics

Methods stemming from decades of research on disordered materials are used to describe algorithmic phase transitions, and to design new algorithms in machine-learning problems.
Australians should be able to do more than just access and transfer their own consumer data.

Data availability report presents compromised rights for consumers

The Productivity Commission’s report on data availability and use is disappointing for consumers, who won't be able to stop firms collecting their data or challenge automated decisions made using it.
To manage renewable energy efficiently, all weather variation need to be taken into account. Greg Clarke/Flickr

An algorithm to improve the renewable energy production

Relying less on fossil fuels is one of the key challenges of energy transition, and taking weather variations into account can help increase the overall efficiency of a renewable-energy system.
Can an algorithm explain itself? Robot decision via

Did artificial intelligence deny you credit?

A European Union law will require human-understandable explanations for algorithms' decisions. A team of researchers has found a way to provide that, even for complex calculations.
Can machine learning help us find – and reduce – gender bias? Doctor/nurse via

Removing gender bias from algorithms

Algorithms that learn from large data sets can pick up inherent social biases. That could perpetuate the biases, or even worsen them.
Australian startups are trying to develop better algorithms to offer financial advice. Tracey Nearmy/AAP

Business Briefing: trusting an algorithm with investment decisions

Business Briefing: trusting an algorithm with investment decisions. The Conversation13.9 MB (download)
Financial advice was once the realm of bankers and brokers now startups are developing digital platforms to take advantage of how trusting we are of investment advice from computers.
How fast can it get here? Box delivery image via Hadrian /

Algorithms can be more fair than humans

Algorithms can discriminate, even when their designers don't intend that to happen. But they also can make detecting bias easier.
Predicting whether a child will commit a crime before their 18th birthday is fraught with problems. Shutterstock/Tomsickova Tatyana

Can we predict who will turn to crime?

Machine learning is being used to see if it's possible to predict whether someone will commit a crime some time in the future. But does this risk condemning people for a crime they haven’t committed?

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