Machine-learning techniques often produce misleading or wrong results, researcher warns
Algorithms don't know how to say 'the data is not clear' or 'I don't know'
Machine-learning techniques are being used by thousands of scientists to analyse huge amount of data in their research. Image via Pixabay
Increasing use of machine learning techniques in scientific research is leading to a 'science crisis', claims Rice University statistician Dr Genevera Allen, who has found that the results produced by...
More on Software
Microsoft and DWP work to make technology more accessible
Accessible technology can unlock opportunities in every part of society, the firm believes
British software reseller files £270 million antitrust court action against Microsoft
ValueLicensing alleges that Microsoft pressurises customers not to sell unused Windows and Office licences, to the detriment of the secondhand market
Using bug bounties to spot bias in AI algorithms
Bug bounties, or paying ethical hackers to find software flaws, are common in the infosec space. Can the same be applied to AI?
PAC report: Home Office's IT border projects are 'a litany of failures'
Delays to the DSAB programme have cost £173m so far
Reaping the rewards of GraphQL: How to minimise pain points of implementation
GraphQL is a relatively new API technology, but only a few of the common concerns are justified, expains Martin Buhr
Back to Top
