From RAN optimization to agentic AI integration, telecom operators are transforming networks into self-directed, intelligent infrastructure powered by AI.

Both silicon spin qubits and electrons-on-helium platforms approaches are promising for semiconductor CMOS-compatible quantum computing: silicon spin qubits use electrons in silicon and can be made ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed a quantum intelligent interconnected fault-tolerant consensus algorithm that deeply ...

How to deal with the GA-data git submodule? After cloning the repository or one of its forks, run the following to properly activate the git submodule GA-data: ...

Abstract: Stream grouping strategy plays an important role in stateful stream computing environments. Many existing grouping strategies overlook various cost factors associated with grouping while ...

A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.

Abstract: This paper presents a mobile computing-based framework for distributed computing and cooperative control of connected and automated vehicles (CAVs) in ramp merging scenarios under ...