Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

As we advance through 2026 and look intently toward the 2030 horizon, the role of the global executive has evolved past the concept of simple amplification. In our previous discussions, we established ...

Addressing the shortcomings of the Sparrow Search Algorithm (SSA), such as low accuracy of convergence and tendency of falling into local optimum, a Multi-strategy Integrated Sparrow Search Algorithm ...

Although building a large practical quantum computer is still a long-term project, over the past two decades researchers have made great progress in building rudimentary quantum hardware and in ...

In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...

Cuckoo search algorithm is an efficient random search method for numerical optimization. However, it is very sensitive to the setting of the step size factor. To address this issue, a new cuckoo ...

Abstract: With the continuous development of Internet of Things, data transmission presents an exponential rising trend. Due to the limited energy storage and low transmission power of sensor nodes, ...

Three weeks ago, panic swept across some corners of the security world after researchers discovered a breakthrough that, at long last, put the cracking of the widely used RSA encryption scheme within ...

TOC can not only generate gas but also provide the main space for gas storage. The structure of the organic matters within the connected and isolated pore network is essential for gas storage capacity ...