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 ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

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

Self-driving is currently the Holy Grail in the automotive world, with a number of companies racing to build general-purpose autonomous vehicles that can get from point A to point B with no user input ...

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, ...