Energy & Environment
Big Data provides utility providers an effective way to manage supply and demand, reduce waste while increasing service capability and reliability.
The paper, written by researchers at the Universities of Lancaster and Exeter, explains how expert ‘prediction markets’ might enhance climate-risk estimates that influence crucial economic and governmental choices. Organizations realize that they must incorporate climate risks into their strategic planning, whether physical hazards to buildings and locations or risks linked
The components used to build an aluminum-sulfur battery are all readily available and reasonably priced. Aluminum and sulfur serve as the battery’s two electrode components, with a layer of molten salt serving as the electrolyte. Some other inventions, like the liquid metal batteries Sadoway and his students created a number
Today we see clear movement and momentum to decarbonization and the green energy transition. In parallel, the rise in digital technology and advanced analytics provide unique opportunities to not only migrate to new energy technologies, but to monitor progress, predict performance, integrate systems, ensure reliability and resiliency – and improve
The Governor of Rhode Island approved legislation early in July requiring the state to obtain all its electricity from renewable energy resources by 2033. No American state has a more ambitious timetable than this one. “Anything more ambitious, and I would start being a little skeptical that it would be
The debate about the necessity for regulation of computing-intensive apps and the chips that power them is being sparked by worries about the environmental impact of AI. The Stanford Institute for Human-Centered Artificial Intelligence and the Stanford Woods Institute for the Environment held the Advancing Technology for a Sustainable Planet
There is an exponential increase in the size of machine learning models and the carbon footprint of AI systems is an important thing to consider in order to create a sustainable world. In order to train them to accurately process images, text, or video, they need more and more energy.
The IT sector is investing in green computing modules and devices by reducing the use of hazardous materials and speeding up the recycling process of electronic and digital modules. Also known as green IT or sustainable IT, green computing includes using responsibly produced raw materials, reducing electronic waste, and promoting
According to research conducted by data center energy management firm Schneider Electric, many parts of the IT industry are having difficulty reconciling their words with their behaviors regarding addressing sustainability. The companies are trying to keep their IT sustainability statements in line with their actions The company reached out to
A recent research from MIT Lincoln Laboratory and Northeastern University has investigated the savings that can be made by power capping GPUs used in model training and inference and several different methods to reduce AI energy use in light of growing concern over huge machine learning models’ energy demands. Power
Today’s artificial intelligence technologies use quite a lot of energy. For this reason, the production of low-energy AI systems is very important for a sustainable world. Artificial intelligence may be performed using tiny nanomagnets that communicate similarly to neurons in the brain, according to researchers. The Imperial College London researchers