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 ...

Machine learning & AI

Defining the unexplainable in artificial intelligence

The term "artificial intelligence," usually abbreviated as AI, means many things to many people. Initially, the phrase was used to allude to the potential of machines, computers, specifically, somehow gaining sentience on ...

Computer Sciences

Probabilistic AI that knows how well it's working

Despite their enormous size and power, today's artificial intelligence systems routinely fail to distinguish between hallucination and reality. Autonomous driving systems can fail to perceive pedestrians and emergency vehicles ...

Computer Sciences

Technologists develop FatNet algorithm

Researchers from City, University of London's School of Science and Technology have developed an innovative algorithm called FatNet.

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