Communications of the ACM

Artificial Intelligence in Physics: ‘The Influence is Huge’

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...
TMCnet

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

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 ...
JD Supra

Can you patent your AI? New guidance in Canada and the US for software and AI inventors

Corporate investment in AI continues to accelerate globally and patent filings for AI-related inventions are rising across ...
IEEE

Universal Method for Enhancing Dynamics in Neural Networks via Memristor and Application in IoT-Based Robot Navigation

Abstract: Special tasks in complex and extreme environments require mobile robots to possess the good capabilities of navigation and securing map data. Mobile robots driven by the chaotic properties ...
Hosted on MSN

Activation functions in neural networks: Types and examples

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...
Frontiers

Breaking the memory wall: next-generation artificial intelligence hardware

Efficient artificial intelligence (AI) hardware is crucial for resource-constrained applications such as healthcare and transportation, where it enhances performance, reduces costs, and supports ...
Frontiers

Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs

Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These ...