On stage, at NVIDIA GTC 2026, Marketeam.ai unveiled RL-KPI (Reinforcement Learning with Key Performance Indicators), a ...
Abstract: With the rapid evolution of 5G/6G networks, deterministic services such as the Industrial Internet, vehicular communications, and immersive applications impose stringent end-to-end (E2E) ...
import torch @torch.compile(backend="inductor") def fn(src, index, base_tensor): src = src + 10 torch.use_deterministic_algorithms(True) base_tensor.scatter_(0, index ...
ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
Logic BIST (LBIST) is a well-stablished traditional solution for meeting automotive testing standards. However, using pseudo-random LBIST patterns can be challenging when trying to achieve ...
Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...
MicroAlgo Inc. announced the integration of its quantum image LSQb algorithm with quantum encryption technology to create a new system for secure information hiding and transmission. This innovative ...
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