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 ...
Medical Xpress

AI deciphers how fast ALS progresses and which functions decline first

ALS (amyotrophic lateral sclerosis) is a fatal neurodegenerative disease that gradually affects a person's ability to move, speak and breathe. It advances differently in every patient. Now, ...

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 ...

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.
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 ...