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 ...

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 ...

X's 'open source' algorithm isn't a win for transparency, researchers say

Researchers say that the recommendation algorithm published by X doesn't offer the kind of transparency that would actually ...
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 ...
Open Heart

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

AI algorithm to more effectively research maternal-child health

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...
Frontiers

Hypoxemia prediction model based on XGBoost during sedation for gastrointestinal endoscopy

1 Department of Anesthesiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China 2 Shanghai Jiao Tong University Paris Elite Institute ...
Engadget

Elon Musk says X's new algorithm will be made open source next week

X may soon provide more insight into how its algorithm works. On Saturday, Elon Musk posted on the platform to say that the company "will make the new X algorithm, including all code used to determine ...
IEEE

Optimizing Fraud Detection Performance with XGBoost Algorithm in Credit Card Transactions

Abstract: Everyone from consumers to banks to organisations is vulnerable to credit card theft. The danger of fraud is increased with digital payments. It is challenging to detect credit card fraud in ...
IEEE

Optimizing Fraud Detection Performance with XGBoost Algorithm in Credit Card Transactions

Theft or unauthorised use of a credit card or the disclosure of sensitive financial information is known as credit card fraud. This massive financial crime affects consumers, businesses, and financial ...
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...