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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.

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Contraband: AI efficiently detects anomalies in shipping containers

• A team from Tuft’s University has developed an artificial intelligence system based on a self-supervised learning framework that can detect contraband hidden in cargo flows.
• Researchers projected synthetic 3D anomalies in X-rays to train the model to distinguish between normal cargo and contraband with an impressive accuracy of score of 98%.
• The innovative approach adopted by the project could also be adapted for applications in other fields, including microscopy, medical research and industrial quality control.
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A man in a safety vest reviews documents in front of a row of colorful shipping containers at a port.
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Artificial intelligence: how psychology can contribute to AGI

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A User-Centred Approach to AI Explainability

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How to make AI explainable?

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

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Data and AI Ethics Council, guarantor of responsible AI at Orange

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

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