这项由北京航空航天大学的杨健、国鑫、林静等研究者联合优矿公司和中国人民大学人工智能学院团队完成的突破性研究,发表于2025年12月的arXiv预印本(论文编号:2512.13472v1),是全球首次系统性探索多语言编程训练规律的重要成果。
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Why Nvidia might be the sleeper winner in quantum computing

Nvidia has become shorthand for the artificial intelligence boom, but its most durable advantage may emerge in a very different field: quantum computing. As hardware makers race to prove their qubits, ...
insights from industryScott MittlVice President of SalesINSACO Inc. INSACO, a leader in precision machining for hard materials, continues to push the boundaries of innovation with its latest ...
TL;DR: Intel CEO Lip-Bu Tan announced the reintroduction of simultaneous multi-threading (SMT) or Hyper-Threading in future CPUs to enhance performance and competitiveness, especially in data center ...
Yesterday, Intel published a blog post titled "Lip-Bu Tan: Steps in the Right Direction," described as "a message from Intel CEO Lip-Bu Tan to all company employees." In it, he addresses the turmoil ...
Free-threaded Python is now officially supported, though using it remains optional. Here are four tips for developers getting started with true parallelism in Python. Until recently, Python threads ...
Just about every machine shop makes parts out of one aluminum alloy or another. Just about every shop also threads holes in those parts using taps. While taps are a highly efficient way to make ...
E-cores and the loss of hyperthreading aren't helping Intel win any future gaming crowns. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us ...