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.
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?
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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.
Visualising wealth and poverty through AI.
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Researchers fed an advanced AI algorithm with satellite photographs to see if it could identify areas of poverty and it interpreted the data through abstract images.
The AI most likely to cause you harm is not some malevolent superintelligence, but the loan algorithm at your bank.
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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.
Students are not adopting digital and AI-powered tools uncritically.
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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.
Hiring algorithms could filter candidates before interviews even take place.
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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.
Do you trust AI systems, like this driverless taxi, to behave the way you expect them to?
AP Photo/Terry Chea
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.
The seeds of the current commotion over AI were laid years ago.
The government, banks and other financial organisations are now dealing with fraud by using increasingly sophisticated detection methods.
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Air quality forecasting is getting better, thanks in part to AI. That’s good, given the health impact of air pollution. An environmental engineer explains how systems warn of incoming smog or smoke.