Deep learning

Vivien Mura: “Companies must limit AI agent autonomy”

● AI agents do more than just generate text: they interact with sensitive tools and data, which has made them a prime target for malicious attacks.
● Protocol vulnerabilities, hijacking and algorithmic bias: AI automation faces a host of new threats.
● Zero Trust Architecture, real-time supervision and fundamental model alignment will be essential to ensure the security of AI agents.
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Datacenters: how should they be cooled in the era of AI?

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

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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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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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