Visualization for Machine Learning or VIS4ML can help developers better design, train, and understand their models. A recent paper available on preprint service ArXiv.org and accepted for publication at IEEE VIS, by a faculty fellow at Stanford HAI, finds that researchers in this space are making inappropriately broad claims about their tools' applicability.
The Stanford Emerging Technology Review's first-edition report was recently introduced at an event on campus and is available for download. The report serves as a primer for ten pivotal technology domains and will be updated regularly.
Much of the $1 trillion Bipartisan Infrastructure Bill is targeted for building and repairing roads, bridges, and railways and is headed to the states. A new study details how these auctions work and how they might be tweaked to lower the cost of infrastructure projects, potentially saving governments (and taxpayers) billions of dollars
At the latest webinar hosted by the Stanford Woods Institute for the Environment, political and energy experts from Stanford, the U.S. government, and the private sector discussed the challenges, opportunities, and strategies to equitably accelerate the transition away from fossil fuels. Many projects that would advance solar farms, new transmission lines and other essential infrastructure are stuck in queues waiting for permits.
A team of researchers found that by substituting cheaper silver for some of the platinum group metals used in previous catalysts, they could make an equally effective fuel cell with a much lower price tag
Marco Pavone's Autonomous Systems Lab designs decision-making algorithms to enable space robots or self-driving cars to maneuver in unpredictable - or completely alien- environments. ASL also uses AI to redistribute traffic toll money from drivers who can afford tolls to those who can't
Stanford Law School's Robert Rabin, the A. Calder Mackay professor of law discusses the eventual tilt toward more product liability claims and fewer negligence claims, the new liability framework he proposed in 2018 and well as other tort law issues around fully autonomous vehicles.
Researchers at Stanford, SLAC, MIT and Toyota Research Institute have used computer vision to extract pixel-by-pixel information from nanoscale X-rays of electrode particles absorbing and releasing lithium ions that couldn't be seen before.
experts: Arun Majumdar, dean of the Stanford Doerr School of Sustainability, Yi Cui, professor of materials science and engineering and director of Precourt Institute, Jason Glickman, executive vice president, PG&E, and Amy Guy Wagner, energy consultant on some of the main challenges in reaching California's goal of a fully carbon-neutral economy by 2045
This brief from the Stanford University Human-Centered Artificial Intelligence (HAI) introduces a quantitative framework that allows policymakers to evaluate the behavior of language models to assess what kinds of opinions they reflect. See the key takeaways in the brief.
