Scientists Create a “Periodic Table” for Artificial Intelligence

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Vibrant’s New Title Empowers Emerging Developers With the Foundations of Efficient, Real-World Programming

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...
Morning Overview on MSN

US Army creates a new AI officer path to spread ML across ops

The U.S. Army is turning artificial intelligence from a niche experiment into a core part of how it fights, plans, and sustains itself. By creating a dedicated AI and machine learning officer track, ...
PRIMETIMER

Current status and recent developments in the CERES program

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.
IEEE

Optimization of Federated Learning Algorithm for Non-lID Data: Improvements to the FedDyn Algorithm

Abstract: This paper investigates the optimization of the FedDyn algorithm in Federated Learning (FL). Federated Learning is a distributed machine learning framework that enables model training on ...

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

ByteDance’s agreement to sell TikTok puts app’s algorithm in the spotlight – a social media expert explains how the ‘For You’ page works and what’s to come

(THE CONVERSATION) Chinese tech giant ByteDance has signed an agreement to sell a majority stake in its video platform TikTok to a group of U.S. investors. President Donald Trump announced a ...
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 ...