How Teaching A.I. Endangered Languages Can Help Save Them

By feeding centuries-old nursery rhymes and folklore recordings into their own model, linguists in Louisiana hope to help a ...
The Debrief

Holographic Breakthrough: This New Futuristic 3D Imaging System Overcomes a Longstanding Problem for Holographic Tech

A new 3D image projection system marks a major step toward overcoming a longstanding problem for holographic technology.
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
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 Ozcan, introduced a snapshot 3D image projection system that integrates a ...
EurekAlert!

DeepAFM: A deep learning method to decode protein motion

DeepAFM is a deep learning-based method that analyzes high-speed atomic force microscopy images of proteins. It removes noise and identifies protein shapes, enabling accurate detection of transitions ...
GitHub

yuki85v/multitask-papp-prediction-with-reliability

This project develops a multitask graph convolutional neural network (MT-GCN) to jointly predict apparent permeability (Papp) across five assays (Caco-2, MDCK, RRCK, LLC-PK1, and PAMPA), and ...
HotHardware

AI Pet Translator: How Machine Learning Can Decode Dog Barks & Cat Meows

If you've ever desperately wanted to know exactly what your golden retriever is yelling at the mailman, a newly emerged tech startup claims to have the answer. Enter Pettichat, an AI-powered smart ...
IEEE

Interactive Vehicle Trajectory Prediction Based on Parameterized Transfer Learning Using Encoder–Decoder Network

Abstract: Vehicle trajectory prediction is important for automated vehicles to understand driving scenarios. This paper proposes an encoder-decoder network-based parameterized transfer learning ...
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 ...