Police efforts to sort through online child sexual exploitation material are being hampered by the rise in AI-generated imagery. Here’s how they’re working to combat the problem.
AI has learned the ins and outs of proteins. Gene editing gives scientists control of life’s molecular machinery. Together they could lead to a revolution in biotechnology.
AIs that can see and hear have captured the public imagination. A machine learning expert explains why the sense of smell has lagged behind – and why that could change.
Scientists are discovering viral genetic sequences in the wild faster than they can analyze them. A kind of ChatGPT for proteins can help make sense of all that data.
‘Uncanny’ AI music generators blur the line between creators and consumers. Will they turn music from high art to an everyday language? Listen to these AI-generated tracks and judge for yourself.
A recent study of the car loans sector showed that a machine learning algorithm could make decisions that were 34% more profitable than salespeople in dealerships.
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.