Frontiers

Transformer-Enabled Multi-Omics Interpretation: LLM Pipelines for Cross-Dataset Annotation and Uncertainty-Aware Integration

You will be redirected to our submission process. Multi-omics studies now span genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics, and spatial and single-cell modalities, ...

OpenAI acquires open-source Python tooling startup Astral

OpenAI Group PBC today announced plans to acquire Astral Software Inc., a startup with a set of widely used Python development tools.  The terms of the deal were not disclosed. Astral’s development ...

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.
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 ...
Analytics Insight

Best OpenCV Online Courses on Coursera in 2026

Overview OpenCV courses on Coursera provide hands-on, career-ready skills for real-world computer vision ...
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, ...