Articles on Deep neural networks
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Metaphorical black boxes shield the inner workings of AIs, which protect software developers’ intellectual property. They also make it hard to understand how the AIs work – and why things go wrong.
Many of the pioneers who began developing artificial neural networks weren’t sure how they actually worked - and we’re no more certain today.
How do police forces make artificially aged images of people who have been missing for years?
New software that can generate images and text on command may deliver ‘good enough’ creativity in advertising, copywriting, stock imagery and graphic design.
Using a form of artificial intelligence called deep neural networks, researchers can generate new proteins from scratch without having to consult nature.
Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.
Artificial intelligence insatiable data needs has encouraged the mass collection of personal data, placing privacy at risk. But AI can help solve the very problem it creates.
Finding out more about how the brain works could help programmers translate thinking from the wet and squishy world of biology into all-new forms of machine learning in the digital world.
Robots for tutoring? The desire to keep pace with technological change should not eclipse larger questions about how children’s development is impacted.
The new technology behind machine learning-enhanced fake videos has a crucial flaw: Computer-generated faces don’t blink as often as real people do.
We have far more to worry about from outdated science that embodies dubious prejudices than we do from deep learning networks.










