The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental.

Gracie Abrams seems to be at the top of her fitness game in her latest Instagram post. The singer-songwriter left fans awed and inspired, turning up the heat in a bra top that shows off sculpted ...

Olivia Dunne just showed her fitness when she posted a mirror selfie from her hotel room. She wore a black cropped top and matching bottoms, and her toned abs were clearly visible. Actually, She often ...

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Denise Austin shared a quick exercise that strengthens the abs. The 68-year-old fitness pro said it’s a great way to squeeze in a workout during the busy holiday season. “Little movements like this ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

As a writer for Forbes Home since 2021, Emily specializes in writing about home warranties, solar installations, car transportation and moving companies. With a background in journalism and experience ...

传统基础模型在S-NIAH单针大海捞针等简单检索任务中尚能维持表现，但在信息密度更高的复杂任务中，其推理性能随输入长度增加而下降。相比之下，RLM在输入长度超过特定阈值区间后，依然保持得分稳定性。

在代码大模型（Code LLMs）的预训练中，行业内长期存在一种惯性思维，即把所有编程语言的代码都视为同质化的文本数据，主要关注数据总量的堆叠。然而，现代软件开发本质上是多语言混合的，不同语言的语法特性、语料规模和应用场景差异巨大。如果忽略这些差异，笼统地应用通用的 Scaling Laws，往往会导致性能预测偏差和算力浪费。

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。

不过，目前此项技术仍处于早期研究阶段，仅能产生低解析度的360度环景图像内容，但研究团队计划在未来，对现阶段技术所产生环景图像进行升级，同时加入HDR影像强化效果，让生成的3D图像或VR场景的观看度更加流畅和有吸引力。