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AI is playing a key part in reshaping and developing businesses, and in improving people’s daily lives. Different concepts, tools and technologies that use algorithms—such as blockchain, machine and deep learning, natural language processing, generative AI, etc.—are beginning to show exciting possibilities that will support and optimise human intelligence. If guided by an ethical and responsible approach, this field can offer numerous rewards.

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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The carbon impact of AI: Orange’s navigator for the net-zero carbon transition

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

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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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Illustration of a smiling robot emerging from a large smartphone screen, reaching out to a seated man with a

The drive to simulate human behaviour in AI agents

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