A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
Nature

Visual Attention and Inhibition Mechanisms

Visual attention is a fundamental cognitive process that enables individuals to prioritise and process behaviourally relevant stimuli while disregarding extraneous information. In this context, ...
Searchenginejournal.com

Google’s Infini-Attention Scales LLMs For Infinitely Long Inputs

Google has published a research paper on a new technology called Infini-attention that allows it to process massively large amounts of data with “infinitely long contexts” while also being capable of ...
Semiconductor Engineering

A HW-Aware Scalable Exact-Attention Execution Mechanism For GPUs (Microsoft)

A technical paper titled “Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers” was published by researchers at Microsoft. “Transformer-based models have ...
Semiconductor Engineering

HW-Aligned Sparse Attention Architecture For Efficient Long-Context Modeling (DeepSeek et al.)

A new technical paper titled “Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention” was published by DeepSeek, Peking University and University of Washington.