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.
techxplore

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 ...
Tech Xplore

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 ...
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 ...
The Manila Times

WiMi Proposes a New High-Performance Fault-Tolerant Quantum Computing Technology Based on Multi-Hypercube Codes

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, proposes a new high-performance fault-tolerant quantum ...
Scientific American

Human genome decoder J. Craig Venter dies at age 79

J. Craig Venter, the scientist who raced to decode the human genome, has died at age 79. Venter rose to fame in the field for publishing the first bacterial genome ever decoded, along with a list of ...
Machine Design

Reduce Encoder Cost While Gaining Functionality with 44-Turn Sensors

How to substantially reduce encoder cost while gaining functionality with 44-Turn multi-turn rotary position sensors—retaining count and position during power loss. New technology reduces encoder ...
IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
GitHub

Variational Autoencoder (VAE) for Image Generation

This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...