Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

By using a neural network-based decoupling algorithm, the team was able to resolve spectral interference within the existing system, reducing both the complexity and cost of the design.

The resulting neural network achieved accuracy comparable to that of the original. In another experiment, researchers shrunk ResNet-50 by 99% and still saw a top accuracy of 70.55%.

MIA3G is a deep feedforward neural network for ovarian cancer risk assessment, using seven protein biomarkers along with age and menopausal status as input features. The algorithm was developed on a ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Binggang Wang, Early Warning Method of Marine Products Network Marketing Risk Based on BP Neural Network Algorithm, Journal of Coastal Research, SPECIAL ISSUE NO. 103. Global Topics and New Trends in ...

Its new DesignWare ARC NPX6 and NPX6FS NPU IP address the demands of real-time compute with ultra-low power consumption for AI applications. And for application software development on the latest NPU, ...

Neural network algorithm is used in this paper to upgrade the material flow model. According to the operation principle of port logistics and the principle of neural network algorithm, based on the ...