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Articles on Machine learning

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The Vesuvius Challenge incentivizes technological development by inviting researchers to figure out how to ‘read’ ancient papyri excavated from volcanic ash of Mount Vesuvius in Italy. Columns of Greek text retrieved from a portion of a scroll. (Vesuvius Challenge)

Ancient scrolls are being ‘read’ by machine learning – with human knowledge to detect language and make sense of them

However exciting the technological developments may be, the task of reading and analyzing the Greek and Latin texts recovered from the papyri will fall to human beings.
Seabirds like this sooty shearwater can drown when they become tangled in drift nets and other fishing gear. Roy Lowe, USFWS/Flickr

Sharks, turtles and other sea creatures face greater risk from industrial fishing than previously thought − we estimated added pressure from ‘dark’ fishing vessels

The toll on wildlife from illegal fishing, bycatch and entanglement in fishing gear is likely underestimated, because it doesn’t account for ‘dark’ fishing vessels, a new study finds.
Frank Rosenblatt with the Mark I Perceptron, the first artificial neural network computer, unveiled in 1958. National Museum of the U.S. Navy/Flickr

We’ve been here before: AI promised humanlike machines – in 1958

Enthusiasm for the capabilities of artificial intelligence – and claims for the approach of humanlike prowess –has followed a boom-and-bust cycle since the middle of the 20th century.
A team in Argentina is using sensors based on TinyML technology to study Chelonoidis chilensis tortoises. Little is known about its biology and the species is in a vulnerable state. The small sensors, in black on the shell, are small enough to allow the animal to move freely.

AI in the developing world: how ‘tiny machine learning’ can have a big impact

Traditionally dominated by the use of centralised, resource-intensive servers, machine learning is being democratised with the growth of “TinyML”, distinguished by its small size and low cost.
AI has arrived. How will it change society in the year ahead? Pavel_Chag/iStock via Getty Images

AI is here – and everywhere: 3 AI researchers look to the challenges ahead in 2024

Artificial intelligence is everywhere, and the tech industry is racing along to develop ever more powerful AIs. Three scholars look ahead to the next chapter in this technological revolution.
Rather than using AI to replace workers, companies can build teams that ethically integrate the technology. Yuichiro Chino/Moment via Getty Images

NASA’s Mars rovers could inspire a more ethical future for AI

AI poses a variety of ethical conundrums, but the NASA teams working on Mars rovers exemplify an ethic of care and human-robot teamwork that could act as a blueprint for AI’s future.

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