The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Frontiers

A robust deep learning framework for predicting carbon dioxide-water alternating gas injection performance and optimization

Figure 1. Schematic diagram of CO 2-WAG technique and CCUS aims. Table 3. CO 2-WAG parameters range. The script then automatically runs numerical simulations number-by-number using the created data ...
Reuters

Musk's X to open source new algorithm in seven days

Jan 10 (Reuters) - Elon Musk said on Saturday that social media platform X will open to the public its new algorithm, including all code for organic and advertising post recommendations, in seven days ...
Search Engine Land

Google algorithm updates 2025 in review: 3 core updates and 1 spam update

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
GitHub

suan-4/Time-Series-Forecasting-of-Power-Load-Employing-the-XGBoost-Algorithm

这是你suan的第一个项目，每日电力负荷的时间序列预测模型,数据集格式模板为：'年/月/日 时:分'(year/month/day hour:minute ...
Business Insider

MicroCloud Hologram Inc. Develops Serial-Parallel Architecture-Based FPGA Quantum Computing Simulation Framework

SHENZHEN, China, Dec. 22, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a brand-new FPGA-based quantum computing ...
EurekAlert!

Intelligent XGBoost framework enhances asphalt pavement skid resistance assessment

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
The Conversation

‘Simulation theory’ brings an AI twist out of ‘The Matrix’ to ideas mystics and religious scholars have voiced for centuries

Rizwan Virk owns shares in Google, and in various video game companies. He is also a venture partner in Griffin Gaming Partners, a venture capital fund dedicated to investing in video game-related ...
Science Daily

Physicists prove the Universe isn’t a simulation after all

New research from UBC Okanagan mathematically demonstrates that the universe cannot be simulated. Using Gödel’s incompleteness theorem, scientists found that reality requires “non-algorithmic ...
Popular Mechanics

Scientists Proved We’re Definitely Not in a Simulation

The true nature of our universe as been an open debate for millennia, and recently, scientists and philosophers have pondered whether it might be a hyper-realistic simulation perpetuated by some super ...
Scientific Research Publishing

Liang, W., Luo, S., Zhao, G. and Wu, H. (2020) Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms. Mathematics, 8, Article No. 765.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...