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 reduce GPU costs in high-volume production environments.
Tech Xplore

Hybrid AI model combines graphs and transformers for real-time traffic forecasts

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...
IEEE

Machine Learning based Predictive Maintenance in Distribution Transformers

Abstract: Distribution Transformers are an integral parts of the infrastructure which ensures reliable distribution of electricity in a city across various households. These transformers albeit robust ...
IEEE

Transformer Machine Learning Models for Time Series Electricity Power Forecasting

Abstract: Time series forecasting is a cornerstone of predictive analytics in diverse domains, such as electricity power production (power plants) and transmission (power grids). Predicting ...
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 basic concept ...