Tech Xplore

Researchers develop new algorithms for the efficient design of motorcycles in the digital environment

Researchers at Universidad Carlos III de Madrid (UC3M) have developed a set of innovative methods and algorithms that improve ...
Frontiers

Enhancing AI Safety in Energy Optimization: Leveraging Computer Vision for Efficient and Secure Power Systems

The integration of artificial intelligence (AI), particularly computer vision, into energy systems is revolutionizing power optimization, enabling efficient ...
eLife

Center-surround inhibition in expectation and its underlying computational and artificial neural network models

Expectation optimizes perception through center-surround inhibition, enhancing expected representations while suppressing similar, irrelevant ones.
AlphaGalileo

How to improve the fault diagnosis accuracy of puffing machines?

In the development of modern animal husbandry, the feed industry serves as a crucial material foundation, and extrusion puffing technology has become ...
TMCnet

WiMi Deploys Dual-Discriminator Quantum Generative Adversarial Network Architecture, Ushering in a New Era of Efficient Training for QGANs

WiMi innovatively combines the robust feature extraction capabilities of QCNN with the dual-discriminator architecture to construct a hybrid quantum-classical generative adversarial framework. The ...
Communications of the ACM

Advancing AI in Agriculture through Large-Scale Collaborative Research

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...
Study Finds

Brain-Like Computer Chips Help Self-Driving Cars Find Better Routes While Saving Energy

Researchers developed 3D flash memory chips that help self-driving vehicles plan optimal routes, using 74% less energy.
Devdiscourse

AI powers next generation of offshore wind technologies

The study reveals a rapidly evolving field where AI plays a pivotal role in accelerating design, enabling predictive maintenance, optimizing control systems, and powering intelligent digital replicas ...
PR Newswire APAC

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...

WiMi Studies Quantum Generative Adversarial Network Model and Hybrid Classification Model

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are researching the utilization of ...
Scientific Research Publishing

Viterbi, A. (1967) Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm. IEEE Transactions on Information Theory, 13, 260-269.

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
IEEE

Bidirectional Multiscale Efficient Dilated Convolutional Recurrent Neural Network Improved by Swarm Intelligence Optimization

Abstract: In recent years, bidirectional convolutional recurrent neural networks (RNNs) have made significant breakthroughs in addressing a wide range of challenging problems related to time series ...