Algorithm

AI and cognitive sciences: can AIs be endowed with a human-like ability to generalize?

● Artificial intelligence systems excel at analysing probabilities to come to decisions, but unlike humans, they are unable to generalize in situations that are beyond the scope of their training data.
● Researchers are now calling for greater integration of cognitive science in the development of AI to ensure that future systems that are more robust and easier to understand.
● Their initiative has highlighted existing ethical challenges, the need to steer clear of anthropomorphic thinking, and the drive to ensure regulation that nonetheless develops AI’s potential to expedite tedious tasks.
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Seeking an ideal blueprint: the quest to deploy generative AI in companies

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AI: challenges faced by developers of automated systems to moderate hate speech

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Stylized character jumping in front of a screen with technology and communication icons

Orange launches a quantum computing research initiative to optimise network operations

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Close-up of a woman in a white coat carefully looking through the eyepiece of a black microscope, with her right eye aligned.

Efficient, lightweight computer vision models for innovative applications

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The drive to simulate human behaviour in AI agents

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