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.
Decrypt

Google's DiffusionGemma AI Hits 1,000 Tokens Per Second—And It's Free

DiffusionGemma hits 1,000 tokens per second by ditching word-by-word generation entirely. It just doesn't run on most ...
Tech Xplore on MSN

Single snapshot unlocks 3D depth with coded aperture and AI

A single photograph contains a wealth of information, but determining 3D spatial relationships from a 2D scene is no simple ...
Johns Hopkins Medicine

Machine Learning Model Improves Accuracy of Liquid Biopsy Results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
Tech Xplore on MSN

What confusing code does to developers: Brain and eye tracking reveal surprise response

How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now ...
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 ...
IEEE

Pedestrian Trajectory Prediction in Heterogeneous Traffic Using Pose Keypoints-Based Convolutional Encoder-Decoder Network

Abstract: Future pedestrian trajectory prediction offers great prospects for many practical applications. Most existing methods focus on social interaction among pedestrians but ignore the factors ...