Particle permutation task can be tackled by quantum but not classical computers, study finds

Quantum computers, systems that process information leveraging quantum mechanical effects, are expected to outperform ...
Market.us Scoop

AI in Endoscopy Market Set for Strong Expansion, Valued at USD 838.9 Million by 2033

Global AI In Endoscopy Market size is expected to be worth around USD 838.9 Million by 2033 from USD 58.1 Million in 2023.

The Dawn Of Self-Optimizing AI Agents

Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...
Tech Xplore

New memristor training method slashes AI energy use by six orders of magnitude

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Devdiscourse

AI moves to the core of cyber defense as attacks grow more complex

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Scientific Research Publishing

A Comparative Study of Community Service Work between China and the United States Based on Deep Learning ()

Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J.X. (2026) A Comparative Study of Community Service Work between China and the United ...
The Malaysian Reserve

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
IEEE

Optimization of Convolutional Neural Networks With Multi-Objective Function Metaheuristics for Melanoma Detection

Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...
IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
Frontiers

A lightweight deep convolutional neural network development for soybean leaf disease recognition

Soybean is one of the world’s major oil-bearing crops and occupies an important role in the daily diet of human beings. However, the frequent occurrence of soybean leaf diseases caused serious threats ...
Frontiers

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...