Artificial intelligence

News articles classified as Artificial intelligence

July 13, 2021

An accurate wearable calorie burn counter

A system made with two inexpensive sensors proves to be more accurate than smartwatches for measuring calories burned during activity – and the instructions for making the system yourself are available for free online.

Stanford HAI — July 8, 2021

Future of work: Beyond bossware and job-killing robots

To encourage a human-centered workplace, we must rethink AI-driven automation, bossware, labor taxes and corporate R&D.

Stanford Engineering — June 11, 2021

$1.2 million for two new Stanford research projects on energy/climate AI and environmental justice

Three Stanford University entities will fund two new research projects on using artificial intelligence and machine learning to make energy systems more sustainable, affordable, resilient and fair to all socioeconomic groups.

June 3, 2021

Stanford opens a ‘smart city’ research center in Korea

The new center will provide a testbed to help academic and corporate researchers develop and deploy a new generation of physical structures and electronic technologies as prototypes for the urban environments of the 21st century.

June 2, 2021

New algorithm for modern quilting

When it comes to the art of quilting, determining the feasibility and order of steps in advanced patterns can be notoriously complicated – and frustrating. By automating that process, a new algorithm enables quilters to focus on design and creation.

May 14, 2021

Researchers call for bias-free artificial intelligence

Medical devices employing AI stand to benefit everyone in society, but if left unchecked, the technologies could unintentionally perpetuate sex, gender and race biases.

Stanford Medicine — May 12, 2021

Software turns ‘mental handwriting’ into on-screen words, sentences

Artificial intelligence, interpreting data from a device placed at the brain’s surface, enables people who are paralyzed or have severely impaired limb movement to communicate by text.

Stanford Institute for Human-Centered Artificial Intelligence — April 19, 2021

Are medical AI devices evaluated appropriately?

A new study finds limitations in the FDA’s approval process.

April 19, 2021

AI empowers environmental regulators

Monitoring environmental compliance is a particular challenge for governments in poor countries. A new machine learning approach that uses satellite imagery to pinpoint highly polluting brick kilns in Bangladesh could provide a low-cost solution.

Stanford Institute for Human-Centered Artificial Intelligence — March 31, 2021

Using clinical text to combat selection bias in medical research

Stanford researchers identify clinically meaningful confounders of retrospective observational research in medical record text.

March 8, 2021

Assessing regulatory fairness through machine learning

Applying machine learning to a U.S. Environmental Protection Agency initiative reveals how key design elements determine what communities bear the burden of pollution. The approach could help ensure fairness and accountability in machine learning used by government regulators.

Stanford Institute for Human-Centered Artificial Intelligence — March 3, 2021

The 2021 AI Index: Major growth despite the pandemic

This year’s report shows a maturing industry, significant private investment and rising competition between China and the U.S.

January 11, 2021

Hybrid chips can run AI on battery-powered devices

In traditional electronics, separate chips process and store data, wasting energy as they toss data back and forth over what engineers call a “memory wall.” New algorithms combine several energy-efficient hybrid chips to create the illusion of one mega–AI chip.

December 8, 2020

Studying trust in autonomous products

Stanford engineers investigated how people’s moods might affect their trust of autonomous products, such as smart speakers. They uncovered a complicated relationship.

Stanford Institute for Human-Centered Artificial Intelligence — November 5, 2020

When algorithmic fairness fixes fail: The case for keeping humans in the loop

Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.

Stanford Institute for Human-Centered Artificial Intelligence — October 30, 2020

When algorithms compete, who wins?

Over time, prediction algorithms become specialized for an increasingly narrow slice of the population, and the average quality of their predictions declines.

Stanford Institute for Human-Centered Artificial Intelligence — October 23, 2020

AI improves control of robot arms

Algorithms developed by Stanford researchers could one day help disabled people fluidly and intuitively control robot arms to help with everyday tasks.

October 21, 2020

AI detects hidden earthquakes

Tiny movements in Earth’s outermost layer may provide a Rosetta Stone for deciphering the physics and warning signs of big quakes. New algorithms that work a little like human vision are now detecting these long-hidden microquakes in the growing mountain of seismic data.

Stanford HAI — September 22, 2020

The geographic bias in medical AI tools

Patient data from just three states trains most AI diagnostic tools. Raising questions about the validity of the algorithms for patients in other areas.

Stanford Engineering — September 11, 2020

AI-controlled sensors could save lives in ‘smart’ hospitals and homes

Computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.

August 27, 2020

Stanford launches AI-powered TV news analyzer

The Stanford Cable TV News Analyzer is an interactive tool that uses AI to search transcripts and calculate the screen time of public figures appearing on cable TV news.

Stanford HAI — June 24, 2020

How work will change following the pandemic

Machine learning and remote work will shift the skills that employees need and managers want.

Stanford HAI — June 24, 2020

HAI Fellow Kate Vredenburgh: The right to an explanation

Do we have a right to know how AI makes decisions affecting our lives? A political philosopher shares her perspective.

HAI — May 28, 2020

A Zen Buddhist monk’s approach to democratizing AI

HAI fellow Colin Garvey discusses AI’s problematic narrative and what we stand to lose in a China/U.S. AI arms race.

May 22, 2020

Using satellites and AI to help fight poverty in Africa

A new tool combines publicly accessible satellite imagery with AI to track poverty across African villages over time.

May 21, 2020

Mapping dry wildfire fuels with AI and new satellite data

Researchers have developed a deep-learning model that maps fuel moisture levels in fine detail across 12 western states, opening a door for better fire predictions.

Stanford Institute for Human-Centered Artificial Intelligence — May 14, 2020

Grading on a curve? Why AI systems test brilliantly but stumble in real life

A Stanford linguist argues that deep-learning systems need to be measured on whether they can be self-aware.

HAI — April 6, 2020

Tracking a killer: Hunting the coronavirus with technology, AI and analytics

Experts offer Insights on mapping and forecasting virus cases during Stanford HAI’s COVID-19 and AI Conference.

HAI — April 6, 2020

Artificial intelligence and COVID-19: How technology can understand, track and improve health outcomes

Scholars, practitioners, and experts across disciplines share what’s working and where research can help during HAI's virtual conference.

March 23, 2020

Automated speech recognition less accurate for blacks

The disparity likely occurs because such technologies are based on machine learning systems that rely heavily on databases of English as spoken by white Americans.