Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...
China’s government-facing communications framed the goal as scaling to a network of thousands of satellites. One official report described the constellation’s direction as a major step in “space-based ...
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 ...
Rigetti Computing, Inc. (NASDAQ: RGTI), a pioneer in full-stack quantum-classical computing, recently provided an update on its 108-qubit quantum computing system, Cepheus-1-108Q, now expected to ...
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 ...
The pace of the transition of sectors to artificial intelligence infrastructure is no longer an issue of algorithms and software but increasingly one of electricity, compute hardware, and ...
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 ...