Studying the microbiology of any entity, be it a molecule or a dolphin, ideally means putting a spotlight as close to the source material as possible. That can be especially challenging when you're investigating the Rube ...
Materials known as metal-organic frameworks (MOFs) have a rigid, cage-like structure that lends itself to a variety of applications, from gas storage to drug delivery. By changing the building blocks that go into the materials, ...
Benefiting from superior capability in manipulating wavefront of electromagnetic waves, metasurfaces have provided a flexible platform for designing ultracompact and high-performance devices with unusual functionalities. ...
In a new report now featured on the cover page of and published in Science Advances, Hans Hon Sang Chan and a research team in materials, chemistry and quantum photonics at the University of Oxford generated exactly emulated ...
How does an iPhone predict the next word you're going to type in your messages? The technology behind this, and also at the core of many AI applications, is called a transformer; a deep-learning algorithm that detects patterns ...
Rice, a major food crop, is cultivated on nearly 162 million hectares of land worldwide. One of the most commonly used methods to quantify rice production is rice plant counting. This technique is used to estimate yield, ...
The seismic reflection method involves sending acoustic waves thousands of meters under the Earth's surface. The reflected signals provide scientists with information about the characteristics of the subsurface. This is how ...
Ideology has always been a critical element in understanding how we view the world, form opinions and make political decisions.
In traditional vision systems, the optical information is captured by a frame-based digital camera, and then the digital signal is processed afterwards using machine-learning algorithms. In this scenario, a large amount of ...
Architectures based on artificial neural networks (ANNs) have proved to be very helpful in research settings, as they can quickly analyze vast amounts of data and make accurate predictions. In 2020, Google's British AI subsidiary ...
