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

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 ...

Astronomers have turned the Atacama Large Millimeter/submillimeter Array (ALMA) into a time machine to peer back in cosmic time to 1 billion years after the Big Bang.

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 ...

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.

The course builds on my 2018 class, Art and Geometry, which I co-taught with local artists. The course explored Picasso’s cubism, which depicted reality as fractured from multiple perspectives; it ...

Here is a complete history of all the major changes, updates, and refreshes to Google's search algorithm that have impacted SEO.

Recent research on deep convolutional neural networks (DCNNs) for classifying micro-Doppler (m-D) signatures faces a significant challenge due to the limited and costly acquisition of data. This ...

Convolutional Neural Networks (CNNs) trained on large scale RGB databases have become the secret sauce in the majority of recent approaches for object categorization from RGB-D data. Thanks to ...