Lance Fortnow on the current status and future outlook of solving the P-NP problem.

When Ryan Williams plugged a novel technique developed to test the bounds of a key part of complexity theory into his own framework, he found the result hard to believe. The Massachusetts Institute of ...

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 ...

TCT 192: Prediction of 2-Year Target Lesion Failure by Final OCT Minimal Stent Area in Cases of In-Stent Restenosis Receive the the latest news, research, and presentations from major meetings right ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Prototyping is natural. New smartphone concepts are tested ...

While I genuinely like pydantic and pydantic settings for many use-cases, I have been batteling it for a few hour now, just to discover that there seems to be non-deterministic behaviour when ...

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 ...

It has demonstrated the powerful ability of a quantum computer to perform certain computational tasks more efficiently than a classical computer. Thus, to show quantum advantages is a key problem in ...