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.
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.
New research on what attracts blood-feasting flies to blue objects could help minimise the impacts of those insects on people and animals.
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.
Artificial intelligence tools are making waves in almost every aspect of life, and astronomy is no different. An astronomer explains the history and future of AI in understanding the universe.
Understanding when and how neurons die is an important part of research on neurodegenerative diseases like Lou Gehrig’s, Alzheimer’s and Parkinson’s diseases.
Using a form of artificial intelligence called deep neural networks, researchers can generate new proteins from scratch without having to consult nature.
/
2
