FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

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

Financial word of the day: Heteroscedasticity — meaning, usage, and why it matters more than ever

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...
Outlook Business

Start-up Outperformers 2026: Evaluating Series B & C Start-Ups on Funding, Valuation and Operations

Series B and C start-ups are evaluated across three main areas: financial performance, funding and valuation and operational capabilities ...
AZoBuild on MSN

Machine Learning Predicts the Strength of Carbonated Recycled Concrete

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
Outlook Business

The Logic of Start-Up Outperformers 2026 Rankings

Start-ups are evaluated across three main areas: financial performance, funding and valuation, and operational capabilities. The study focuses entirely on Series B and Series C start-ups. For states ...
AZoRobotics

Using Deep Learning to Predict Disease Progression in Chronic Illnesses

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
JD Supra

Not A Categorical Ban: Federal Circuit Narrowed Spectrum of Patent Eligible Machine Learning Claims

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

AI model forecasts coral heat stress on Florida reefs up to six weeks ahead

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...
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 ...
Scientific Research Publishing

AI-Driven Carbon Release Reduction: A Hoochens Inc Framework for Assessing AI’s Impact on Fossil Fuel Intake Optimization ()

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
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 ...