AI has the potential to radically transform financial services. But first banks need to get their data in order.

Chatbots and fraud prevention applications are becoming more common, but banks are still doing the essential data work needed so AI can do the more ambitious work around investment recommendations.
IEEE

A Review on the Applications of Machine Learning and Deep Learning Algorithms for Image Recognition

Abstract: Modern image recognition has experienced dramatic improvements because of Machine Learning and Deep Learning algorithms together. This study investigates CNNs and SVMs for recognition ...
IEEE

Machine Learning in E-Commerce: Trends, Applications, and Future Challenges

Abstract: The rapid evolution of e-commerce has been significantly influenced by the integration of machine learning (ML) and data science techniques. The present survey provides a comprehensive ...

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...