The massive impact of AI on people and the environment is just the tip of the iceberg. True AI sustainability requires a life-cycle approach focused on the common good.
Climate change, particulate pollution, C02 emissions: If we're to make a switch from fossil fuels to clean energy, the transport sector needs to find new concepts, alternative energy sources, and innovative solutions.
In the Klim app, farms can record their regenerative agricultural measures. In return, they get knowledge, a community and funds to support their work.
AI users and developers can influence AI sustainability. We present the essential steps to creating a sustainable AI model.
Esther Mwema rethinks the hidden architecture of the internet, exposing how global tech systems often replicate colonial power structures.
With his free tool, Claude Carbon, French developer Gaëtan Wittebolle makes the carbon footprint of vibe coding visible and shares tips to help developers reduce their code's emissions.
Want to reduce your carbon footprint when using software, browsing websites or in your day-to-day work? Our guide shares the CO2 trackers that you can use to track apps, websites and AI.
Why does living and working in the cloud generate high CO2 emissions? And how exactly do we get to the green cloud? We provide an overview and some tips.
If the internet were a country in its own right, it would rank sixth in the global CO₂ emissions rankings. Under the banner of ‘Green Coding’, we’ve put together some ways you use the internet more resource efficiently.
