Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
financefeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
GitHub

Explain XGBoost models with the Hoeffding functional decomposition.

treehfd is a Python module to compute the Hoeffding functional decomposition of XGBoost models (Chen and Guestrin, 2016) with dependent input variables, using the TreeHFD algorithm. This decomposition ...
The Verge

What TikTok’s new owners mean for your feed

The US version of TikTok is now under the control of Larry Ellison’s Oracle and a number of investment firms. The US version of TikTok is now under the control of Larry Ellison’s Oracle and a number ...
techtimes

How Social Media Algorithms Work to Rank Content and Boost Your Online Reach

Social media algorithms determine what billions of users see daily, yet most creators barely scratch the surface of how they operate. Platforms prioritize content ranking using engagement metrics, ...
IEEE

Fault Diagnosis for Transformer Winding using Morpho-offset Feature of Oscillating Wave and CPO-XGBoost Algorithm

Abstract: Accurate and effective diagnosis of transformer winding conditions is crucial for ensuring their safe and reliable operation. This paper proposes a transformer winding fault detection method ...
IEEE

Hardware Trojan Detection with Explainable Graph Learning Using XGBoost Algorithm

Abstract: In today’s world of interdependencies, hardware security is viewed as a crucial component in system designs and production. As Integrated circuits (ICs) become more complex with the ...
SciELO

Feature extraction and XGBoost prediction model for compaction process of roller compacted concrete based on discrete element simulation

To overcome the limitations of traditional roller-compacted concrete (RCC) compaction monitoring—which relies on macroscopic experiments, overlooks microscopic mechanisms, and lacks model ...
collider

After 555+ Million Hours, Netflix’s Most Popular Show of 2025 Still Misses the Point With 1 Major Issue

Netflix would like you to know that Adolescence has been watched for more than 555 million hours this year, a number so large it feels almost impossible to quantify. (You don’t rack up a figure like ...