Connected objects

Co-adaptation: When the Algorithm Learns Too Fast for Humans

• Researchers at the University of Washington have modeled what happens when an interface and its user learn at the same time.
• A decoder that recalibrates too quickly not only degrades performance but also hinders the user’s own learning.
• François Bourquin, an artificial intelligence specialist at Orange, places these findings within the broader debate on human supervision of learning systems.
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At VivaTech 2026, digital twins combined with agent-based AI are making networks smarter

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Physical AI: After Text, Sound, and Images, AI Is Now Being Integrated into Robots

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Protocol 404: Orange Cyberdefense’s Escape Game at VivaTech 2026

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Wi-Fi: Behind the Scenes of a More Reliable and Sustainable Network

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A technician wearing a helmet and safety vest operates a drone near a telecommunications tower.

At MWC, Orange’s AI Brings Networks to Life for Users

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Young woman waiting for a tram in an urban environment at dusk.

Edge AI: training solutions for more energy-efficient models

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