In the field of generative AI media, the industry is transitioning from purely probabilistic pixel synthesis toward models capable of structural reasoning. Luma Labs has just released Uni-1, a ...

This paper focuses on the global temperature trends and factors affecting the temperature by using regression model and ARIMA Model. This paper visualizes and analyzes the data by plotting a series of ...

Abstract: This research focuses on global temperature forecasting using the Auto-ARIMA model. The study utilizes month-by-month historical temperature data from 1961 to 2019, sourced from Kaggle, to ...

ABSTRACT: This paper explores effective methods for predicting gold prices, proposing three modeling strategies: a standalone Long Short-Term Memory (LSTM) network, a Convolutional Self-Attention (CSA ...

Something to look forward to: The reports that Nvidia was to unveil DLSS 4.5 with 6x dynamic frame generation at CES have proved accurate. The company says that the update to its suite of AI-powered ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

How to boost app performance with Python 3.15's lazy import ...

Ant International, a leading global digital payment, digitisation, and financial technology provider, has released its proprietary Falcon TST (Time-Series Transformer) AI model, the industry-first ...

本项目实现了一个创新的ARIMA-LSTM混合模型，用于黄金价格的精确预测。该研究结合了传统时间序列分析方法的线性特征提取能力和深度学习神经网络的非线性模式识别优势，通过动态权重优化机制实现了预测性能的显著提升。 黄金作为重要的避险资产和投资 ...

Climate-induced hydrological non-stationarity (e.g., intensified drought-flood transitions) challenges inflow forecasting in climate-vulnerable basins like the Yalong River, thereby constraining ...