Trained on a database of over 20,000 faces organized by rough category (age, gender, pose, etc), Klingemann experiments use a convolutional neural network similar to Deep Dream. Except instead of just ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Neural networks are all the rage right now with increasing numbers of hackers, students, researchers, and businesses getting involved. The last resurgence was in the 80s and 90s, when there was little ...

A group of scientists has created a neural network based on polymeric memristors -- devices that can potentially be used to build fundamentally new computers. These developments will primarily help in ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

Stefano Iabichino, a director in the quant investment strategy team at UBS in London, has turned the problem on its head by ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex (male or female), age, ...