The Stanford-based Natural Capital Project collaborated with Morgan Stanley's Institute for Sustainable Investing to develop a new, open-source ecosystem services footprinting tool to assess nature-related impacts and dependencies (i.e., the ways a business's operations may depend on nature's services)
The CREATE AI Act (Creating Resources for Every American to Experiment with Artificial Intelligence Act) was introduced by both sides of the U.S. Congress last month. The bill would establish a national AI research resource to provide access to much-needed compute and datasets for academics, nonprofit researchers, and startups.
A new Stanford study finds low-income communities in California have a disproportionate share of fire-prone overhead lines and proposes a way to equitably allocate the cost of moving more lines underground.
Stanford scientists have invented a new kind of paint that can reduce the need for both heating and air conditioning in buildings and other spaces, such as trains and trucks for refrigerated cargo.
A new paper concludes a seven year journey by the paper's co-author Austin Sendek, whose AI algorithms identified a promising new material for better batteries. A compound known as "LBS" has shown it can hold high levels of electricity without breaking down.
Adding real-world driving data to battery management software and computer models of battery pack performance can lead to longer-lasting, more reliable batteries.
At the meeting on June 20 with President Joe Biden, and leaders in AI including Stanford HAI Co-Director Fei-Fei Li and HAI Associate Director Rob Reich, the president was urged to invest in AI to ensure America's leadership.
Researchers from the Department of Energy's SLAC National Accelerator Laboratory and Washington State University showed a way to remove methane from the exhaust of engines that burn natural gas. Engines that run natural gas power 30 - 40 million vehicles worldwide.
Stanford researchers have improved on current LLM optimization methods called Sophia that cuts the pretraining time in half. The team hopes to see Sophia applied to other areas of machine learning such as computer vision models or multi-modal models
This report documents the progress that is being made in expanding the extraction and processing of rare earth elements and lithium. While progress has been made in extraction and processing in Australia the United States and elsewhere, there is still much work to be done to assure a sufficient and reliable supply of critical materials.
