We have been stuck in using neural network models to achieve radar target recognition ... is implemented based on multiphase Chan-Vese ACM model. Fig. 3. Schematic diagram of the proposed ACM-based ...

Gemini Diffusion is also useful for tasks such as refactoring code, adding new features to applications, or converting an existing codebase to a different language.

Danny Russel and Emily Ratte unpack the national security stakes of open-source AI, and how China is playing the long game.

Researchers have identified a form of molecular motion that has not previously been observed. When what are known as "guest molecules"—molecules that are accommodated within a host molecule—penetrate ...

Understanding neural network dynamics is a cornerstone of systems neuroscience, bridging the gap between biological neural networks and artificial neural ...

Abstract: In this article, master–slave synchronization of reaction–diffusion neural networks (RDNNs) with nondifferentiable delay is investigated via the adaptive control method. First, centralized ...

Discriminative deep learning often falls short due to its single-step input-output mapping and lack of global awareness of the solution space, especially given the complexity of network optimization's ...

A subset of self-improving machine learning in which AI algorithms are designed with a multi-layered, artificial neural network (ANN ... costs tend to be higher. Diffusion is the tech at the ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years ...