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 ...
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Understanding the differences between probabilistic and deterministic AI will help manufacturers make more informed choices and achieve measurable results. As professionals become interested in using ...
Service intelligence startup Neuron7 Inc. said today it has come up with a solution to solve the reliability challenges that prevent enterprises from adopting artificial intelligence agents. That ...
Meta announced on Tuesday a new Facebook algorithm update that will showcase more Reels videos tailored to users’ preferences. The update includes features that offer users greater control over the ...
A cycle-accurate alternative to speculation — unifying scalar, vector and matrix compute In dynamic execution, processors speculate about future instructions, dispatch work out of order and roll back ...
Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Prototyping is natural. New smartphone concepts are tested ...
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 ...
There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...
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