AI tagged posts

To better leverage cancer data for research, scientists are developing an artificial intelligence (AI)-based natural language processing tool to improve information extraction from textual pathology reports. In a first for cancer pathology reports, the team developed a multitask convolutional neural network (CNN) – a deep learning model that learns to perform tasks, such as identifying key words in a body of text, by processing language as a two-dimensional numerical dataset.

As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime...

Scientists have added a crucial tool to the atomic-scale manufacturing toolkit with major implications for today’s data driven—carbon intensive—world, according to new research from the University of Alberta in Canada.

“Computers today are contributing one gigatonne of carbon emissions to the atmosphere, and we can eliminate that by enhancing the most power-hungry parts of conventional computers with our atomic-scale circuitry,” said Robert Wolkow, professor in the University of Alberta’s Department of Physics a Principal Research Officer at the National Research Council of Canada’s Nanotechnology Research Centre, and chief technical officer of Quantum Silicon Inc, a...

For the first time, astrophysicists have used artificial intelligence techniques to generate complex 3D simulations of the universe. The results are so fast, accurate and robust that even the creators aren’t sure how it all works...

Spontaneous spikes being similar to nerve impulses of neurons was generated from a POM/CNT complexed network. Credit: Osaka University

Molecular/carbon nanotube network devices enable artificial spiking neurons that mimic nerve impulse generation. Researchers have created extremely dense, random SWNT/ POM network molecular neuromorphic devices, generating spontaneous spikes similar to nerve impulses of neurons. They conducted simulation calculations of the random molecular network model complexed with POM molecules, which are able to store electric charges, replicating spikes generated from ] random molecular network. They also demonstrated that this molecular model would very likely become a component of reservoir computing devices...