Interesting Engineering on MSN

Deep learning co-design helps scientists project 28-layer 3D images without crosstalk

Engineering researchers at the University of California, Los Angeles (UCLA) have developed an advanced ...

Light-programmed system projects 28-layer 3D images in single shot

Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.
IEEE

Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning

Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...