AI tool shows promise in accurately diagnosing brain tumors without surgery

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

Machine Learning Course for Software Engineers: Interview Kickstart Launches Structured 8-Month ML Program for Career Transition

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...
Que.com on MSN

Understanding AI: Breaking down machine learning, deep learning, and generative AI

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...
Tech Xplore

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Intelligent automation for front office

At the Bloomberg Investment Management Summit 2025 in Singapore, the breakout session ‘Intelligent Automation for Front ...
IEEE

What is the Value of Heuristic Model Selection and Aggregation in Federated Learning?

Abstract: Federated learning (FL) is a promising distributed machine learning framework for mobile networks, where an aggregation server produces a global model by aggregating the local models from ...
IEEE

Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection

Abstract: In federated learning, selecting participating devices (clients) is critical due to their inherent diversity. Clients typically hold non-IID data and possess varying computational and ...