MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

From greedy shortcuts to dynamic programming guarantees, algorithm design techniques are the backbone of efficient problem-solving in computer science. Understanding when and how to apply each ...

Researchers have created a 3D programmable device merging living neurons with flexible electronics, achieving high-efficiency pattern recognition.

Physicists have devised an algorithm that provides a mathematical framework for how learning works in lattices called mechanical neural networks. It's easy to think that machine learning is a ...

Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...

A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...

A new study published in Engineering introduces a neural-network-based switching output regulation controller (NN-SORC) for high-speed ...

Computational simulations indicate that classical psychedelics could induce hallucinations by co-opting neural circuitry dedicated to sleep-dependent replay and consolidation, providing a theoretical ...

Obtaining the gradient of what's known as the loss function is an essential step to establish the backpropagation algorithm developed by University of Michigan researchers to train a material. The ...