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Discover our articles that showcase ideas, opinions and perspectives—of different players, experts and stakeholders from every ecosystem—on the greatest advances in research and innovation.

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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Semantic Communications: The Roadmap for the Orange-CEA Joint Lab

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Agent-based AI: “The underlying issue is the conscious relinquishment of human control”

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Combating Identity Fraud: The “Trust Signals” Toolkit

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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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