Deep learning

Devoxx France: “AI has ushered in a second revolution in the world of testing”

• An Orange Senior Expert and Orange Software Expert Yann Helleboid explains how artificial intelligence tools are transforming the work of software testers.
• He emphasizes the need for a proper understanding of work produced by AIs as well as careful checking of code that they generate .
• According Helleboid, dependency on tools of this kind is best avoided. Their use can involve considerable expense and they may also lock testers into no-code workflows.
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Young woman wearing gloves conducts environmental research by a lake. She uses equipment including a laptop and test kits. Trees and water in the background.

Biodiversity in lakes: multimodal AI crunches eADN data to monitor pollution

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A man in a safety vest reviews documents in front of a row of colorful shipping containers at a port.

Contraband: AI efficiently detects anomalies in shipping containers

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Artificial intelligence: how psychology can contribute to AGI

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Explainability of artificial intelligence systems: what are the requirements and limits?

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Two people collaborate in front of computer screens, one pointing something out to the other. The screens display computer code in a modern office environment.

AI: “the divide between freelance and in-house developers can be damaging”

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A group of people is attending a presentation of BrainBox AI at the Orange OpenTech event. Two presenter stands in front of a screen displaying graphs and information on the topic. The participants are listening attentively and appear engaged in the discussion.

BrainBox AI to cut commercial real estate emissions by up to 40%

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