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 ...
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, ...
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 ...
GitHub

Vienna Deep Learning Meetup

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GitHub

AI Agents for Social Science and Society 2026

AI agents are emerging everywhere, from social media and the workplace to social science. Agentic AI architectures, powered by large language and vision models atop transformers, trained on a deluge ...
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 ...
Scientific Research Publishing

Xue, S., Zhu, F., Wang, C. and Min, W. (2024) StEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement. In: Lecture Notes in Computer Science ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...