IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...

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 ...
The Lancet

Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts

aDepartment of Kinesiology and Institute for Applied Life Sciences, University of Massachusetts Amherst, Amherst, MA, USA bDepartment Kinesiology, Recreation, and Sport Studies, University of ...
IEEE

Meta-Learning Inspired Single-Step Generative Model for Expensive Multitask Optimization Problems

Abstract: In expensive multitask optimization problems (ExMTOPs), multiple complex tasks must be optimized simultaneously under limited computational budgets. Existing approaches, often based on ...
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 ...
The Verge

Musk says he’s going to open-source the new X algorithm next week

He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. is the Verge’s weekend editor.