TMCnet

Kumo Launches KumoRFM-2, the First Foundation Model to Outperform Machine Learning on Enterprise Data, Scaling to 500 Billion Rows

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
Unite.AI

Kumo Launches KumoRFM-2, A Foundation Model Built to Replace Traditional Enterprise Machine Learning

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
Technology Networks

AI and Machine Learning in High-Throughput Screening

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
TMCnet

Machine Learning Advances in Predictive Cyber Threat Detection

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

SardineAI Corp Announces Fraud Operations Framework Reframing Machine Learning vs Generative AI in Risk Decisioning

SardineAI Corp announces the release of a fraud risk operations guide focused on the distinction between machine learning vs generative AI as an operational consideration within financial crime ...
Frontiers

AI-Driven Housing Market Analytics: Predictive Models for Sustainable Urban Development

As cities around the world continue to expand and evolve, understanding the dynamics of the housing market becomes increasingly critical for urban planners, ...
Devdiscourse

AIoT takes on water scarcity with real-time monitoring and predictive power

A new wave of intelligent water systems powered by Artificial Intelligence of Things (AIoT) is transforming how governments and industries monitor, predict, and manage water resources, as mounting ...
The American Journal of Managed Care

Predictive Models for Low Birth Weight: A Comparative Analysis of Algorithmic Fairness–Improving Approaches

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...
Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...