At Microsoft, building a future that we can all thrive in is at the center of everything we do. On January 16, as part of the announcement that Microsoft will be carbon negative by 2030, we discussed how advances in human prosperity, as measured by GDP growth, are inextricably tied to the use of energy. Microsoft has committed to deploy $1 billion into a new climate innovation fund to accelerate the development of carbon reduction and removal technologies that will help us and the world become carbon negative. The Azure IoT team continues to invest in the platforms and tools that enable solution builders to deliver new energy solutions, customers to empower their workforce, optimize digital operations and build smart, connected, cities, vehicles, and buildings. Earlier, Microsoft committed $50 Million through Microsoft AI for Earth that provides technology, resources, and expertise into the hands of those working to solve our most complex global environmental challenges.
We are experiencing a human tragedy. The Covid-19 crisis is leading to human loss and suffering, hardship and job destruction. It has necessitated immediate and significant public health and economic global responses, affecting all of us, both now and for the foreseeable future. But with the economic recovery comes great opportunity to embrace a low carbon future and refocus on the green economy rather than stick to 20th century business models and infrastructure. A modernised economy with a more sustainable production system is in our sights.
The climate emergency is the biggest threat to civilisation we have ever faced. But there is good news: we already have every tool we need to beat it. The challenge is not identifying the solutions, but rolling them out with great speed. Some key sectors are already racing ahead, such as electric cars. They are already cheaper to own and run in many places – and when the purchase prices equal those of fossil-fueled vehicles in the next few years, a runaway tipping point will be reached.
Rolnick, David, Donti, Priya L., Kaack, Lynn H., Kochanski, Kelly, Lacoste, Alexandre, Sankaran, Kris, Ross, Andrew Slavin, Milojevic-Dupont, Nikola, Jaques, Natasha, Waldman-Brown, Anna, Luccioni, Alexandra, Maharaj, Tegan, Sherwin, Evan D., Mukkavilli, S. Karthik, Kording, Konrad P., Gomes, Carla, Ng, Andrew Y., Hassabis, Demis, Platt, John C., Creutzig, Felix, Chayes, Jennifer, Bengio, Yoshua
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.
Ever imagined using energy from your own rooftop solar panels to power all your air-conditioning units, heat up water and charge your smartphone? This can now be a reality. In Singapore, smart-enabled HDB flats to be completed in Punggol next year will allow homeowners to track energy consumption via a mobile app, and control just about any appliance that is connected to a power source. By 2040, one billion households and 11 billion smart appliances can actively participate in interconnected electricity systems, allowing these to alter when to draw electricity from the grid, according to the International Energy Agency (IEA). Other demand sectors, such as transport, buildings and industry, are also feeling the effects of a seismic shift in the energy sector.