Amorphous alloys are widely used in machine manufacturing and other industires, says research lead, Professor Anatolii Mokshin, "They are used in seismic sensors, manometer membranes, speedometers, ...

The Journal of Real Estate Research, Vol. 40, No. 3 (July – September 2018), pp. 375-418 (44 pages) This study extended the use of artificial neural networks (ANNs) training algorithms in mass ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my ...

Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from two-dimensional (2D) transition metal dichalcogenide (TMDC) with controllable Schottky ...

What Are Artificial Neural Networks (ANNs)? Artificial neural networks are machine learning algorithms that process data in a way inspired by the human brain. The network uses neurons, or ...

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...

Artificial Neural Networks (ANNs) are commonly used for machine vision purposes, where they are tasked with object recognition. This is accomplished by taking a multi-layer network and using a ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make ...