BTC mining industry finances AI gold rush with $11B convertible bond boom

Convertible bond issuance from Bitcoin mining companies has risen sharply since the April 2024 halving event, totaling about ...
eLife

Automated genome mining predicts structural diversity and taxonomic distribution of peptide metallophores across bacteria

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...
The Business & Financial Times on MSN

Predictive analytics in business strategy

The integration of big data into business analytics has transformed how organisations gather and interpret large volumes of data. Big data includes a broad spectrum of structured and unstructured data ...
Frontiers

Structure-guided integrative soft deep clustering analysis of scRNA-seq and scATAC-seq data

1 Department of Urology, The First Hospital of China Medical University, Shenyang, China 2 Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China Introduction: ...
clinicaladvisor.com

Clinical Clustering May Improve Diagnosis and Treatment of Pediatric Behçet Disease

Researchers identified 7 distinct phenotypic clusters among pediatric patients with Behçet disease, with manifestations varying based on geography and system involvement. Findings from an ...
Scientific Research Publishing

Pacal, I., Celik, O., Bayram, B. and Cunha, A. (2024) Enhancing Efficientnetv2 with Global and Efficient Channel Attention Mechanisms for Accurate MRI-Based Brain Tumor ...

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
Invezz

Bitzero raises $25M to expand clean crypto mining and data centres

Bitzero, the clean energy crypto mining company backed by Shark Tank investor Kevin O’Leary, has raised $25 million to accelerate its growth across North America and Europe. The funds will support the ...
C&EN

Reservoir Flow Field Characterization during Water Flooding: A Data Mining and Fuzzy Logic Approach

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Conventional reservoir flow field characterization methods are ...
Scientific Research Publishing

Rokach, L. and Maimon, O. (n.d.) Clustering Methods. In: Maimon, O. and Rokach, L., Eds., Data Mining and Knowledge Discovery Handbook, Springer-Verlag, 321-352.

ABSTRACT: Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) ...
C&EN

Unsupervised Machine Learning-Based Image Recognition of Raw Infrared Spectra: Toward Chemist-like Chemical Structural Classification and Beyond Numerical Data

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...
SciELO

Failure risk of brazilian tailings dams: a data mining approach

This paper proposes the use of a hybrid method that combines Biased Random Key Genetic Algorithm (BRKGA) with a local search heuristic to separate Brazilian tailing dam data into groups. The goal was ...