Articles on Machine learning

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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.
A noninvasive brain-computer interface based on EEG recordings from the scalp. Center for Sensorimotor Neural Engineering (CSNE), Photo by Mark Stone

Melding mind and machine: How close are we?

Brain-computer interfacing is a hot topic in the tech world, with Elon Musk's announcement of his new Neuralink startup. Here, researchers separate what's science from what's currently still fiction.
Machines don’t make the same errors as humans when it comes to decisions based on visual analysis. from www.shutterstock.com

Can machines really tell us if we’re sick?

The value of machine learning is not only that it is more accurate than humans. It is also cheaper and more consistent in its diagnoses.
Machines are set to take over all of our jobs in the near future, author Tim Dunlop predicts. Franck Robichon/EPA

Business Briefing: why the future is workless

Business Briefing: why the future is workless. The Conversation18.1 MB (download)
We need to embrace a future where machines do our jobs for us and the government gives us a basic income as a safety net, author Tim Dunlop says.
Will our digital phrasebook finally be able to handle more than just simple snippets? cybrain/Shutterstock.com

Has auto-translation software finally stopped being so useless?

Auto-translation software has been pretty frustrating to use. But news of vast improvements to Google's translation software raises the prospect that websites will soon be browsable in any language.
Can machine learning help us find – and reduce – gender bias? Doctor/nurse via shutterstock.com

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.

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