Model Showcase: Reasoning from China, Liquid Models, new Microsoft world

With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.
Frontiers

Deep Learning for Event Reconstruction in Neutrino Experiments

Neutrino experiments are entering an era of unprecedented detector scale, precision, and data complexity. From liquid argon time projection chambers and ...

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 Xplore

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 ...
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 ...
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 ...
GitHub

Seattle-Aquarium/underwater-auto-image-encoder

This is an automated machine learning pipeline that replaces manual image editing for underwater GoPro images captured during ROV surveys. Converts RAW GPR files to enhanced images matching manual ...