Machine Learning

Forecasted Transaction Fraud Trends for 2024: Insights from Brighterion AI

In the ever-evolving landscape of transaction fraud trends, one thing remains constant – criminal activities are focused on consumer trends for maximum return. The...

Understanding Predictions Using SHAP Values – The Official Blog of BigML.com

```html BigML offers a chat support interface, where our users get their questions about our platform answered quickly. Recently, an academic user reached out explaining...

Diving into Data Augmentation to Enhance Deep Learning

Introduction In the world of deep learning, where data is often less, the role of data augmentation has become very important. We use methods like...

Canvas: An Ergodic Walk – A Narrative

One upon a time, there was a University whose administration was enthralled by a religion called Canvas. The central tenets of Canvas were held...

Architecting Defense-in-Depth Security for Generative AI Applications Utilizing OWASP Top 10 Principles for LLMs

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential...

Brighterion AI to Host Fraud Fight Club at Fintech Nexus USA 2023

On May 10-11, 2023, fintech professionals from across the United States came together in New York City for Fintech Nexus USA 2023, a gathering...

The Problems with Large Language Models (LLMs) and the Alternatives We Should Focus On – BigML.com’s Official Blog

Earlier this year, BigML’s Chief Scientist and Oregon State University Emeritus Professor Tom Dietterich gave a keynote presentation titled “What’s wrong with LLMs and...

Challenges of Implementing XOR in Neural Networks

Introduction Neural networks have revolutionized artificial intelligence and machine learning. These powerful algorithms can solve complex problems by mimicking the human brain’s ability to learn...

Educating students on the dangers of Physiognomic AI and how to avoid it

I read Luke Stark and Jevan Hutson‘s Physiognomic AI paper last night and it’s sparked some thinking about additional reading I could add to...

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