Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...

A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State ...

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a camera, there are always fundamental resolution limits that cannot be exceeded ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Will deep learning really live up to its ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

Automating the Capture of Structured Pathology Data for Prostate Cancer Clinical Care and Research Natural language processing (NLP) techniques have been adopted to reduce the curation costs of ...

Geek Life: Fun stories, memes, humor and other random items at the intersection of tech, science, business and culture. SEE MORE by Molly Brown on Sep 2, 2015 at 10:30 am September 2, 2015 at 10:34 am ...