Smart city

AI boosts the need for agile energy solutions

• The rapid adoption of generative artificial intelligence and a huge increase in the number of requests to AI tools, which typically consume ten times more energy than Google searches, has led to massive increase in the power consumption of data centers.
• The growing demand for hosting capacity for advanced AI processing is now a major environmental issue, notably with regard to power and water resources.
• In response to this challenge, players in the sector will need to optimize the efficiency of cooling technologies and develop smart networks and smart energy storage systems.
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WeWaLK, .lumen: AI simplifies mobility for the blind and partially sighted

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A man in a safety vest reviews documents in front of a row of colorful shipping containers at a port.

Contraband: AI efficiently detects anomalies in shipping containers

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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.

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

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A person checks their heart rate on a smartwatch while holding a smartphone. The setting is natural, with trees in the background.

Wireless Power Transfers: ERWPT breaks new ground with electric fields

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Collective self-consumption of energy: Building renewable, local, and shared energy

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Flooding: how machine learning can help save lives

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