In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks. One of the key components of most deep learning–based ...

Machine learning technique reconstructs images passing through a multimode fiber Approach could improve medical diagnostics, telecommunications Date: August 9, 2018 Source: The Optical Society ...

Deep neural networks have been widely applied in the field of computer vision and image recognition, and recently, Barbastathis and others developed neural networks to reconstruct transparent ...

Images used to test Microsoft's deep learning AI. Image via Microsoft. Last year Microsoft showed a similar AI initiative, Project Adam , with the ability to accurately identify a dog’s breed ...

The NVIDIA Research team, a group of 120+ researchers, is working at the forefront of AI to enable a deeper understanding of our world in machine learning and deep learning algorithms. Here are ...

Until recently, segmentation required large, compute-intensive neural networks. This made it difficult to run these deep learning models without a connection to cloud servers. In their latest work ...

The algorithm successfully retrieved images with speed and accuracy from a database of tens of thousands of whole slide images from over 22,000 patient cases, with over 50 different disease types ...

Google’s latest deep-learning program can figure out where a photo was taken just by looking at it.The program, called PlaNet, was trained to recognize locations based on details in a photo by ...