Features

Innovation is in his DNA

The Genetics Institute director on his startup mindset, leading by influence and sparking collaboration through polar bears
By Alisson Clark

Feature image for "No Time to be Patient", from the Summer 2022 issue of Explore

No Time to be Patient

She embarked on a mission to cure her rare disease. Now she’s finding answers for one that’s even rarer.
By Alisson Clark

Feature image for Flower Power depicting a field of carinata flowers
Agronomist David Wright sees a future where jet fuel comes from a...
Feature image for CSI: Alzheimer's from Explore magazine's Fall 2021 issue
Growing up in the foothills of the Bavarian Alps, Stefan Prokop imagined...
Feature image for "Building Blocks" from Explore magazine's Fall 2021 issue
The earliest known use of concrete is a floor that dates back...
Hero image for Explore Summer '21 feature story, "All-Seeing Algorithms"
Artificial intelligence and computer science researchers say getting machines to do the right thing has turned out to be relatively easy. We program Roombas to vacuum our homes, but don’t expect them to brew our coffee. We program robotic arms to sort parts in factories, but not to decide which colors to paint cars. We program doorbells to tell us who is at the door, but not to let them in. Most of our machines do one thing and do it well, usually in error-free fashion. They get the task right.
Hero image for Explore Summer '21 feature story, "Trusting Tech"
When you can’t trust your own eyes and ears to detect deepfakes, who can you trust? Perhaps, a machine. University of Florida researcher Damon Woodard is using artificial intelligence methods to develop algorithms that can detect deepfakes — images, text, video and audio that purports to be real but isn’t. These algorithms, Woodard says, are better at detecting deepfakes than humans.
Hero image for Explore Summer '21 feature story, "Vital Signs"
Azra Bihorac says one of the most important collaborations for doctors and...
Hero image for Explore Summer '21 feature story, "Data Prospecting"
Not so long ago, a scientist might say she could never have too much data. Even today, in a world drowning in data, it is better to be data-rich than data-poor.
A symphony orchestra is comprised of the strings, the woodwinds, the brass and percussion. Without one, you lose the depth of sound. Without them all, you lose the genius of Beethoven or Mozart.