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.
Tech Times

Google Gemma 4 12B Brings Multimodal AI to 16GB Laptops, Free Under Apache 2.0

Google Gemma 4 12B, released June 3, is an open-weight multimodal model that processes text, images, audio, and video in a ...
GitHub

Arduino library for a PCF8575 based rotary decoder - supports 5 rotary encoders with a switch.

This library uses a PCF8575 to read the pulses of a rotary encoder. As a PCF8575 has 16 lines up to 5 decoders with a switch can be read over I2C. The PCF interrupt line can be used to detect changes ...
IEEE

Variational Disentangled Graph Auto-Encoders for Link Prediction

Abstract: Existing link prediction methods for graph-structured data produce entangled node representations by indiscriminately aggregating neighborhood information. This entanglement of diverse ...
GitHub

OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation

We introduce OneCAT, a unified multimodal model that seamlessly integrates understanding, generation, and editing within a novel, pure decoder-only transformer architecture. Our framework uniquely ...
archive

Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...
IEEE

GIVTED-Net: GhostNet-Mobile Involution ViT Encoder-Decoder Network for Lightweight Medical Image Segmentation

Abstract: Applying a deep learning-based model for medical image segmentation on resource-constrained devices involves substantial challenges. This task demands a model with decreased parameters and ...