That's where AI can step in. Machine learning can optimize supply chains to reduce waste, monitor resource consumption and promote sustainable manufacturing processes. AI can help to accelerate the energy transition by optimizing savings and improving efficiency across energy-intensive sectors
Do robots help? I wouldn't say YES or NO that simply. NO, they use energy, even machine learning models consume so much energy during training that you can use servers for heating during the winter months. But also YES, that is if you use AI to search for models of how to solve those problems.
Role of robots and AI in the context of climate change, emphasizing the importance of weighing both the costs and benefits. On one hand, the operation and training of AI models and robotic systems do consume significant amounts of energy, sometimes to the extent that data centers can generate enough heat to be used as a heating solution in cold climates. This points to the environmental footprint associated with developing and running these technologies. On the other hand, the potential of AI and robotics to innovate solutions for environmental challenges, including optimizing energy use, enhancing renewable energy sources, and improving efficiency in various sectors, presents a compelling argument for their role in addressing climate issues. The key lies in leveraging AI to discover and implement models that mitigate its own energy consumption while maximizing its positive impact on environmental sustainability. This balanced view acknowledges the complexity of the issue and suggests that the true value of AI and robotics in fighting climate change depends on thoughtful application and continuous improvement towards more energy-efficient technologies.