Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...

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The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework.

Logical reasoning remains a crucial area where AI systems struggle despite advances in processing language and knowledge. Understanding logical reasoning in AI is essential for improving automated ...

In today’s challenging economic environment, where many businesses struggle to provide regular pay increases, it's becoming essential to explore alternative ways to reward and recognise employees. As ...

Problem Statement in detail: We have a lot of factory objects, which are mostly rectangles, or can be modelled as rectangles. Their sizes, lengths and breadths, are given in the sizes.txt file, ...