🌎 Machine Learning vs. Climate Change: AI for the Greener Good
Climate change is one of the most pressing issues of our time. Despite increasing global consensus about the urgency of reducing emissions since the 1980s, they continue to rise relentlessly. We look to technology to deliver us from climate change, preferably without sacrificing economic growth. Our optimistic—some would say
CCS and DAC - capture and store carbon dioxide
Researchers believe that today there is already too much carbon dioxide in the atmosphere and that this amount will also increase, even if we were to stop all of our emissions completely. There are several solutions to this, where extensive forestry is central, but there are also a number of
Sweden and Swedish Companies From an International Perspective
Between 1990 and 2017, Sweden reduced greenhouse gas emissions [https://www.scb.se/hitta-statistik/sverige-i-siffror/miljo/]by 26 percent. During the same period, Sweden’s GDP per capita increased by over 50 percent and went from being 8.6 to 10.1 million inhabitants. The total greenhouse gas emissions in
Energy: Conversion on a Global Scale
There is a monumental transformation occurring in the world’s current energy system, which is being driven primarily by greatly reduced prices for renewable energy. The Swedish energy system has had a very low climate impact for decades. It is 97 percent fossil-free and has a delivery security close to
Exponential Laws - Moore's Law and Carbon Law
Exponential thinking is not intuitive for us humans. We are used to dealing with a world of small, linear changes. But we now live in a world of exponential development, which creates an increased discrepancy between the world we live in and our ability to understand and predict it. Imagine