techtimes

Leveraging Machine Learning Algorithms to Combat Fraud in Supply Chain Operations

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
Laweekly

Privacy-Preserving Machine Learning Models for Transaction Monitoring in Global Banking Networks

As financial institutions adapt to increasingly complex compliance landscapes, the intersection of artificial intelligence (AI), machine learning (ML), and data privacy has emerged as a critical ...
Hosted on MSN

How betting platforms use machine learning for fraud detection

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot risky activity, protect players, and keep systems fair. It breaks down complex ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
EurekAlert!

A revolution for R&D with the missing link of machine learning — project envisions human-AI expert teams to solve grand challenges

Robust, deployable and collaborative machine learning (ML) methods are needed for AI to become truly useful. This ERC-funded research aims to solve a major ML bottleneck and will form a cornerstone of ...