News by Subject Technology & Engineering

A research team at Osaka University created a system that uses a convolutional neural network to learn the features distinguishing different cancer cells, based on images from a phase-contrast microscope. This system accurately differentiated human and mouse cancer cells, as well as their radioresistant clones. This novel approach can improve the speed and accuracy of cancer diagnosis by avoiding the laboriousness and potential errors associated with equivalent analyses by humans.

Geckos are amazingly agile. In addition to running across land and up trees, the animals can prance across the surface of water. A new study reveals how they do it.

Producing realistic animated film figures is a highly complex technical endeavour. ETH researchers have now shown how drones can be used to greatly reduce the effort required in the process.

Using precise brain measurements, Yale researchers predicted how people's eyes move when viewing natural scenes, an advance in understanding the human visual system that can improve a host of artificial intelligence efforts, such as the development of driverless cars.

Argentine and Spanish researchers have used statistical techniques of automatic learning to analyze mobility patterns and technology of the hunter-gatherer groups that inhabited the Southern Cone of America, from the time they arrived about 12,000 years ago until the end of the 19th century. Big data from archaeological sites located in the extreme south of Patagonia have been used for this study.

Researchers trained a deep neural network to classify wildlife species using 3.37 million camera-trap images of 27 species of animals obtained from five states across the United States. The model then was tested on nearly 375,000 animal images at a rate of about 2,000 images per minute on a laptop computer, achieving 97.6 percent accuracy -- likely the highest accuracy to date in using machine learning for wildlife image classification

Big data from human medical studies combined with analytical approaches from physics of complex dynamic systems offer a whole new way to understand and defeat aging.