Sai Prashanth Pathi- AI For Credit Risk: Architecting Explainable Machine Learning For A Regulated Era

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...
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 ...
Crypto Briefing

Carissa Véliz: Predictive technologies require enlightened decision-making, algorithmic hiring can perpetuate biases, and academic fraud undermines integrity …

Predictive technologies require a more enlightened approach to decision-making. The unpredictability of significant life ...
DATAQUEST

Data Scientist vs Machine Learning Engineer: Which career is better for you?

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

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 ...
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 transforming how organizations anticipate and counter cyber attacks.

Machine Learning–Enabled Web Development for Manufacturing Delivers 70% Increase in User Subscriptions

Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...
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, ...

A machine learning model that uses DNA methylation patterns may help identify the origin of cancers of unknown primary

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
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, ...