Computer Sciences

A new neural machine code to program reservoir computers

Reservoir computing is a promising computational framework based on recurrent neural networks (RNNs), which essentially maps input data onto a high-dimensional computational space, keeping some parameters of artificial neural ...

Machine learning & AI

Simple data gets the most out of quantum machine learning

New theoretical research proves that machine learning on quantum computers requires far simpler data than previously believed. The finding paves a path to maximizing the usability of today's noisy, intermediate-scale quantum ...

Computer Sciences

How photonics is revolutionizing convolutional neural networks

In the modern era, there has been explosive growth in the demand for computing power for cognitive image and video processing. While convolutional neural networks offer improved performance for image processing, they also ...

Computer Sciences

How computers and artificial intelligence evolve together

Co-design, that is, designing software and hardware simultaneously, is one way of attempting to meet the computing-power needs of today's artificial intelligence applications. Compilers, which translate instructions from ...

Computer Sciences

Computer vision system marries image recognition and generation

Computers possess two remarkable capabilities with respect to images: They can both identify them and generate them anew. Historically, these functions have stood separate, akin to the disparate acts of a chef who is good ...

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