By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

raw or processed data and metadata files, e.g. spectra, images, structure files software and code, including software settings models algorithms Research data typically refers to digital, ...

“We pioneered direct 1536^3 resolution generation from an image, allowing unprecedented restoration of fine and micro structures. For example, if you upload a macro photo of an ant, Hitem3D can even ...

In this interview, AZoMaterials speaks with an expert from Malvern Panalytical, a company at the forefront of light scattering innovation, to explore the technique's current landscape and future ...

It is still an active area of research today to develop algorithms that can automatically recover a hidden structure in a high-dimensional dataset. This post is an introduction to a popular ...

These days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...

The World Wide Web Consortium (W3C), which manages web standards and guidelines, recently published new specifications for ...

With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.

Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could ...

In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be ...