Attention Mechanisms

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High-end Hitachi Vantara arrays and Nvidia AI support

 🖥️Emulation  Content type: News
blocksandfiles.com·

Gated DeltaNet, From First Principles

 📐Linear Algebra  Content type: Blog
sankalp.bearblog.dev·

Analyzing the geometric dependence of thermoelastic Q -factor in micro hemispherical resonators via a data-augmented CNN-transformer model

 🤖Transformers  Content type: Academic
nature.com·

libertywing/FlashMemory-Deepseek-V4: FlashMemory DS-V4 Retriever: a lightweight retriever that sparsifies DeepSeek-V4 CSA KV-cache. Weights available on Hugging Face.

 🤖Machine Learning  Content type: Code
github.com·

Running Qwen 35B MoE at 450k Context on a Single 32GB GPU

 🤖AI

Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

 🤖Machine Learning
phys.org·

Built and launched a research-reading and highlighting tool with Claude over a few months. Here are the things AI was surprisingly good (and bad) at.

 🤖AI
highlyt.app··r/ClaudeAI

The economics of speculative decoding

 🔧LLVM  Content type: Blog

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching

 🤖Transformers  Content type: Academic
arxiv.org·

AIs like ChatGPT fall apart in classic 'Stroop' psychological test — and that could stand in the way of achieving artificial general intelligence

 🤖Transformers
techradar.com
·

PagedAttention vs Traditional KV Cache: How vLLM Reinvented GPU Memory for LLM Inference

 ⚙️Systems Programming  Content type: Blog
medium.com
·

Introducing North Mini Code: Cohere’s First Model For Developers

 🤖Machine Learning  Content type: Blog

Google open-sources speedy DiffusionGemma text diffusion model

 🤖Transformers
siliconangle.com·

Building & Benchmarking: LLMs on a 16GB Jetson Orin NX for Hermes Agent

 🤖AI  Content type: Blog
dnhkng.github.io·

Stateful Swarms: How Persistent Memory Beats Traditional Agent Architectures

 🤖Transformers  Content type: News

KaiFelixBennett/gemma4-turboquant-rdna4: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.

 🤖AI  Content type: Code
github.com··Hacker News

Bridging the sim2real gap in the table tennis robot with a transformer-based ball states predictor

 🤖Transformers  Content type: Academic
arxiv.org·

LLM Research Papers: The 2026 List (January to May)

 🤖Transformers  Content type: News

Intelligent inference scheduling with llm-d on Red Hat AI

 🔧LLVM
developers.redhat.com·

When AI Agents “Pay Attention

 🤖Transformers
psychologytoday.com·

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