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.
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.
Danielle Williams, Arts & Sciences at Washington University in St. Louis
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.
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.
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.
Research suggests AI could diagnose depression from health records or even social media posts. And it could overcome GP bias when it comes to prescribing medications.
It’s the fourth most popular website in the world, but our new study shows toxic commentary can still thrive on Wikipedia. There’s a lot at stake if too many editors are driven away.
The explosion of generative AI tools like ChatGPT and fears about where the technology might be headed distract from the many ways AI affects people every day – for better and worse.
The Turing test, first proposed in 1950 by Alan Turing, was framed as a test that could supposedly tell us whether an AI system could ‘think’ like a human.
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.
People can trust each other because they understand how the human mind works, can predict people’s behavior, and assume that most people have a moral sense. None of these things are true of AI.
The science of human consciousness offers new ways of gauging machine minds – and suggests there’s no obvious reason computers can’t develop awareness.
Dulani Jayasuriya, University of Auckland, Waipapa Taumata Rau; Jacky Liu, University of Auckland, Waipapa Taumata Rau, and Ryan Elmore, University of Denver
A new machine learning model can pinpoint anomalies in sports results – whether from match fixing, strategic losses or poor player performance. It could be a useful tool in the fight against cheating.