Technology

Orange is developing secure and streamlined generative AI for its employees

• Companies are finding many applications for generative AI.
• To unlock the full potential of these technologies, we must make them easy for employees to embrace and ensure that they are used in a controlled environment.
• At Orange, a secure generative AI tool based on the most powerful solutions on the market is showcasing this approach and transforming practices, and it is being adopted at an unprecedented rate.
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In a bright, modern office, a group of four people is engaged in a brainstorming session. A man is writing on a whiteboard, while three others, seated around a wooden table, are discussing and looking at a laptop. Colorful sticky notes are visible on the board. The space is decorated with colorful curtains and hanging lamps, creating a dynamic and collaborative atmosphere.

Launching new technologies: “Sometimes it’s better to wait for the right moment”

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An individual in a lab coat and protective glasses holds a microprocessor in their gloved hand. The setting is bright and modern, suggesting a research or technology development laboratory.

Algorithmic biases: neural networks are also influenced by hardware

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Soft Robotics Lab - ETH Zürich (lab head: Prof. Robert Katzschmann (not in the picture). From left to right: Jose Greminger (Master student), Pablo Paniagua (Master student), Jakob Schreiner (visiting PhD student), Aiste Balciunaite (PhD student), Miriam Filippi (Established researcher), and Asia Badolato (PhD student).

“Biohybrid robotics needs an ethical compass”

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Soft Robotics Lab – ETH Zürich (lab head: Prof. Robert Katzschmann (not in the picture). From left to right: Jose Greminger (Master student), Pablo Paniagua (Master student), Jakob Schreiner (visiting PhD student), Aiste Balciunaite (PhD student), Miriam Filippi (Established researcher), and Asia Badolato (PhD student).

When will we see living robots? The challenges facing biohybrid robotics

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A woman stands in a train, holding a phone. She is wearing a beige coat and a blue and brown scarf. The interior of the train is bright, with seats and metal support bars.

A mathematical model to help AIs anticipate human emotions

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Conceptual image of the Thales Alenia Space data centre - Thales Alenia Space_MasterImageProgrammes

Lower emissions and reinforced digital sovereignty: the plan for datacentres in space

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