Abstract: In modern industrial processes, key variables are often difficult to measure and analyze directly using sensors, necessitating the use of soft sensing methods for modeling and analysis.

The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...

In 2025, as short videos and digital art continue to thrive, a Chinese AI tool, Kling AI, is reshaping the content creation ...

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随着物联网和人工智能技术的快速发展，弱电系统的智能化程度将不断提升。江苏方洋智能科技的这项专利，为行业提供了新的技术路径，推动了相关产业的升级。通过建立精准的 能耗预测模型 ，企业可以实现实时的负载均衡，优化能源使用，降低运营成本。此外， 大数据 的运用也使得系统能够更好地适应不断变化的需求，提升系统的稳定性和可靠性。江苏方洋智能科技在弱电控制领域的创新，有望成为行业内的重要标杆。

Laptops may be the hot property right now when it comes to music-making, but for a lot of musicians, engineers, and producers, one of the best PCs for music production is still the right choice. A PC ...

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A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG signal decoding, while an innovative generative AI ...

在人工智能迅猛发展的今天，语言模型的效率与性能成为了研究者们关注的焦点。近期，腾讯微信AI联合清华大学发布了一项引人注目的研究成果——连续自回归语言模型（CALM），这一新模型的提出不仅打破了传统语言模型的局限，还为未来的语言处理技术提供了全新的视角。

众所周知，大型语言模型（LLM）的根本运作方式是预测下一个 token（词元），能够保证生成的连贯性和逻辑性，但这既是 LLM 强大能力的「灵魂」所在，也是其枷锁，将导致高昂的计算成本和响应延迟。可以说，业界「苦」LLM ...

智东西11月5日报道，近日，腾讯微信AI团队发布的一篇论文在海外AI圈引发广泛关注。论文提出了一种名为“连续自回归语言模型（CALM）”的新颖架构。与传统Transformer相比，CALM直接将训练大模型所用的计算量减少了44%，推理时的计算量也减 ...

④ 在此之上，VAE 的潜空间由于表征质量的缺陷，几乎无法被迁移到图像分类、分割或检测等更广泛的视觉任务中，导致生成与判别依赖于完全不同的视觉表征体系，难以支持构建生成、感知和理解的统一视觉基础模型。