Tax rebates for installing residential solar power have done little to spur adoption in low-income communities in the United States, while a less common incentive seems to succeed, according to new research using AI and satellite images.
Using AI, scholars track political speech on immigration over decades to find more positive attitudes than at any point in history, but with more partisan divide.
Stanford scientists are among a growing number of researchers harnessing artificial intelligence techniques to bring more realistic representations of ubiquitous atmospheric ripples into global climate models.
A new mathematical model has brought together the physics and chemistry of highly promising lithium-metal batteries, providing researchers with plausible, fresh solutions to a problem known to cause degradation and failure.
Stanford Institute for Human-Centered Artificial Intelligence —
A novel jury learning system lets content moderators explicitly choose which people to listen to when training machine learning systems to recognize toxic speech.
Stanford Institute for Human-Centered Artificial Intelligence —
By comparing the most energy-efficient running speeds of recreational runners in a lab to the preferred, real-world speeds measured by wearable trackers, Stanford scientists found that runners prefer a low-effort pace – even for short distances.
