Scientific Research Publishing

A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of Mosquito-Borne Diseases ()

Bura, A. and Mung’onya, E. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...
Analytics Insight

Top AI Courses to Learn LLM Workflows for Jobs in 2026

Key Takeaways LLM workflows are now essential for AI jobs in 2026, with employers expecting hands-on, practical skills.Rather ...

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to ...
Analytics Insight

Best PyTorch Courses to Learn Deep Learning in 2026

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both ...
Hosted on MSN

War Machine movie review – Alan Ritchson’s Predator meets Transformers film sparks franchise potential

Alan Ritchson channels his inner Schwarzenegger for Netflix's War Machine. Whole hog politics: Reality bites Noem US releases video it says shows strike on Iranian drone carrier Trump wants White men ...
IEEE

Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting

Abstract: Among the various methods used for time series prediction tasks in weather forecasting, Transformer can effectively extract global information and has achieved tremendous success. However, ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Hosted on MSN

Transformers in deep learning: Beginner’s guide explained

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...
marktechpost

Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...