Artificial Intelligence Articles

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Molly Fosco Molly Fosco
Updated on February 27, 2020

How Grammarly's Email Tone Checker Uses AI to Optimize Your Communications

Grammarly's product team responded to user requests by creating a tool that analyzes tone... and displays the results with emojis.

Updated on January 23, 2020

Can Machine Learning Help Clean Up a Tornado’s Financial Aftermath?

New CoreLogic software gives insurers and first responders tornado damage estimates in real-time.

Updated on January 08, 2020

Machine learning in the classroom: AI can assess learning disabilities, says study

For educators seeking to identify learning difficulties of children struggling at school, machine learning could be the answer.

Nona Tepper Nona Tepper
Updated on December 18, 2019

How Humility Helps AI Work Better With Human Users

Making AI smarter is just the first step. Getting users to like it can be just as challenging.

Brian Nordli Brian Nordli
Updated on December 16, 2019

Hypergiant is Developing the Algae Farm of the Future

Hypergiant Industries just unveiled a fridge-sized, autonomous algae tank that offsets more carbon than an acre of trees.

Updated on November 22, 2019

AI to equalize urban and rural health care in China, says NovaVision CEO

Much of the promise of AI centers around improvements in health care that would relieve demand from major urban centers.

Updated on June 19, 2019

Former CNN exec bets on AI as future of news

AI could decide whether traditional media companies keep up digital-first streaming competitors.

Updated on June 15, 2019

AI can help as diagnosis tool for congenital heart defects

Artificial intelligence may hold the key to faster, more accurate diagnoses than ever before, which could boost infant survival odds.

Updated on April 30, 2019

MIT researchers use AI to detect depression in natural conversation

The model analyzes a patient’s natural conversational and writing style to detect signs of depression.

Updated on April 30, 2019

AI to save endangered plants

Scientists have created and trained an algorithm to assign risk probabilities to 150,000 plant species found around the world.

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