Abstract: Language networks are crucial in artificial intelligence, with the novel Mamba architecture significantly reducing computations and consumption compared to the traditional transformer ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Hackers are exploiting a new, undocumented vulnerability in the implementation of the cryptographic algorithm present in Gladinet's CentreStack and Triofox products for secure remote file access and ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

As with internal-combustion vehicles, the advantages of all-wheel drive for electric vehicles have been obvious from the start as has been the potential to provide multiple motors, ideally one for ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: In recent years, FPGA-based convolutional neural networks (CNNs) accelerator has received tremendous research interest, especially in fields such as autonomous driving and robotics. For the ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...