Artificial intelligence

News articles classified as Artificial intelligence

Stanford HAI —

Tech increases equity in diabetes care

Continuous glucose monitoring with AI-enabled remote support yields better outcomes for kids across the socioeconomic spectrum.

Stanford Medicine —

Why won’t people take their statins?

Stanford Medicine researchers used AI to analyze online discussions related to the life-saving cholesterol drug and found a troubling amount of negativity and misinformation.

Stanford HAI —

Will AI make workers more productive?

An AI assistant made new call center employees more productive and empathetic with customers, but offered few benefits for more experienced workers.

Stanford HAI —

Dance it out

A new generative AI model can choreograph human dance animation to match any piece of music.

Stanford HAI —

AI benchmarks hit saturation

According to most of the technical performance benchmarks we have today, it’s nearly perfect. That probably means it’s time for new benchmarks, Vanessa Parli argues.

Stanford Institute for Human-Centered Artificial Intelligence —

The state of AI in 14 charts

A scaling up of large language models, the environmental costs of training them, increasing ethical scrutiny, and more are visualized in this snapshot of the 2023 AI Index.

Stanford HAI —

‘More human than human’

People can only accurately identify AI writers about 50% of the time. This is why.

Stanford Engineering —

60 years of artificial intelligence at Stanford

Entering its seventh decade of innovation in all things artificial intelligence, Stanford reflects on the people who made it possible and the milestones along the way.

Stanford HAI —

AI’s powers of political persuasion

Researchers tested AI’s ability to sway people on controversial political topics. The results are a cautionary tale.

How will ChatGPT change the way we think and work?

We need to think about the human aspect of using AI in our everyday lives and how it will influence the ways in which we perceive and interact with one another, says communication scholar Jeff Hancock.

Stanford HAI —

AI makes it easier to predict rare diseases

A new model combs a wealth of patient data from demographic information to lab test results to better predict the probability of diseases for which data are sparse.

AI predicts global warming will exceed 1.5 degrees in 2030s

Artificial intelligence provides new evidence our planet will cross the global warming threshold of 1.5 degrees Celsius within 10 to 15 years. Even with low emissions, we could see 2 C of warming. But a future with less warming remains within reach.

Stanford Graduate School of Education —

What ChatGPT means for education

Faculty from the Stanford Accelerator for Learning discuss how the new chatbot could change teaching and learning.

Stanford HAI —

What to expect in 2023 in AI

This year’s biggest headline might have been generative AI, but what should we expect from the field in 2023? Four Stanford HAI faculty predict the biggest advances, opportunities, and challenges for the coming year.

Solar panels largely confined to wealthy Americans

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.

Stanford Institute for Human-Centered Artificial Intelligence —

How have attitudes toward U.S. immigration changed?

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 Earth —

An AI solution to climate models’ gravity wave problem

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.

Next-gen battery solutions

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.