Inspired by the human eye, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed an adaptive metalens, that is essentially a flat, electronically controlled artificial eye. The adaptive metalens simultaneously controls for three of the major contributors to blurry images: focus, astigmatism, and image shift.
In the February 22 issue of Cell, scientists describe a platform that uses big data and artificial intelligence not only to recognize two of the most common retinal diseases but also to rate their severity. It can also distinguish between bacterial and viral pneumonia in children based on chest X-ray images.
Combined memristor and transistor operates like a neuron by performing both information processing and memory storage functions.
Harvard researchers developed a soft robot inspired by snakeskin that crawls without any rigid components. The soft robotic scales are made using kirigami -- an ancient Japanese paper craft that relies on cuts, rather than origami folds, to change the properties of a material. As the robot stretches, the flat kirigami surface is transformed into a 3-D-textured surface, which grips the ground just like snakeskin.
A team of researchers, affiliated with South Korea's Ulsan National Institute of Science and Technology (UNIST) has succeeded in developing a new biosensing contact lens capable of detecting glucose levels in patients with diabetes.
Berkeley Lab mathematicians have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the tens or hundreds of thousands of images used by typical machine learning methods, this new approach 'learns' much more quickly and requires far fewer images.
A new MIT-Princeton robotic arm could lend a hand in warehouse sorting and other picking tasks.
Public outreach campaigns can prevent the spread of devastating yet treatable diseases such as tuberculosis (TB), malaria and gonorrhea. But ensuring these campaigns effectively reach undiagnosed patients, who may unknowingly spread the disease to others, is a major challenge for cash-strapped public health agencies. Now, a team of USC Viterbi School of Engineering researchers has created an algorithm that can help policymakers reduce the overall spread of disease.
A paper called 'Algorithms in the historical emergence of word senses'--that appears online today in the Proceedings of the National Academy of Sciences (PNAS)--is the first to look at 1,000 years of English development and detect the kinds of algorithms that human minds have used to extend existing words to new senses of meaning. This kind of 'reverse engineering' of how human language has developed could have implications for natural language processing by machines.
Scientists at Waseda University have developed robotic crystals that walk slowly like an inchworm and roll 20,000 times faster than its walking speed. These autonomously moving, organic crystals have great potential as material for soft robots in the future.