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AI is playing a key part in reshaping and developing businesses, and in improving people’s daily lives. Different concepts, tools and technologies that use algorithms—such as blockchain, machine and deep learning, natural language processing, generative AI, etc.—are beginning to show exciting possibilities that will support and optimise human intelligence. If guided by an ethical and responsible approach, this field can offer numerous rewards.

AI Agents: Toward Orchestrated Autonomy and Human-Machine Co-Intelligence

● By 2027, 70% of MASs (Multi-Agent Systems) will use agents with specialized roles to increase task accuracy. The associated complexity increases the risk of cumulative errors throughout the execution process.
● Strategically, the integration of agentic AI is shifting from human “in the loop” (direct assistance) to human “on the loop” (supervision), with the ultimate goal of systems that can operate “out of the loop” and make fluid decisions.
● Research innovations, such as MIT’s MBTL algorithm, are optimizing agent reliability by making agent training up to 50 times more efficient.
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Unleash the value for all: Can Innovation serve progress (again)?

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AI in Business — an Unprecedented Transformation

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Agentic AI: Are we ready for autonomous decision-making revolution?

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New challenges in AI: building language models that are smaller and more expert

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The Keys to Accelerated AI Inference: Memory Bandwidth, GPU and Transformers

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Orange OpenTech 2025: AI at the Service of Innovation

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