CSR

Artificial intelligence | Go in-depth

Biodiversity in lakes: multimodal AI crunches eADN data to monitor pollution

• Pollution and land-use change pose a major threat to biodiversity in lakes and other natural ecosystems.
• A team of scientists from the University of Birmingham is pioneering an innovative approach involving explainable machine learning to study these complex dynamics.
• Their research, which highlights hitherto unforeseen environmental impacts, will pave the way for better management of complex ecosystems.
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Young woman wearing gloves conducts environmental research by a lake. She uses equipment including a laptop and test kits. Trees and water in the background.
The image depicts a group of technicians working on a telecommunications tower. They are engaged in installation or maintenance tasks, wearing safety helmets and harnesses, highlighting a focus on safety. The presence of equipment suggests they are likely involved in enhancing or troubleshooting network services.
Networks and IT | Discover

Towards sustainable networks with Nokia: Techniques and methods

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Research | Go in-depth

“I lost track of time”: how we get caught up in digital applications?

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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.
Artificial intelligence | Explore

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

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Research | Go in-depth

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

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Internet of things | Discover

Standard prpl operating system strengthens Livebox ecosystem

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Two people are seated in front of a computer, discussing a project. Spools of thread are visible on the table.
Research | Go in-depth

How to avoid replicating bias and human error in LLMs

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