Engineers have developed a microscope that adapts its lighting angles, colors and patterns while teaching itself the optimal settings needed to complete a given diagnostic task. In the initial ...

Machine learning has the potential to fuel major technological developments in countless fields, with Alphabet’s X division already investigating agriculture and food production usage. A team inside ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Researchers from UCLA have created a mobile device called c-Air that measures air quality in a cost-effective way. The device uses a mobile microscope connected to a smartphone and a machine-learning ...

Open any introductory biology textbook, and you'll see a familiar diagram: A blobby-looking cell filled with brightly colored structures – the inner machinery that makes the cell tick. Cell biologists ...

Is it possible for microscopes to learn a bit about the brain? Even be taught by neuroscientists to reliably recognize parts of brain cells... all on their own? Though it may seem like something ...

For centuries, scientists have used microscopes to magnify and peer into a world invisible to the naked eye. The earliest instruments were simple lens-filled tubes, the best of which revealed the ...

Before and after: example of image denoising as applied to atomic resolution imaging of a gold nanoparticle. On the left is the original experimental data as captured. On the right is the same image ...

Ever since the world's first ever microscope was invented in 1590 by Hans and Zacharias Janssen --a Dutch father and son-- our curiosity for what goes on at the tiniest scales has led to development ...