Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
GitHub

trisha199/aws_architecture_diagram

PlantUML images, sprites, macros, and other includes for Amazon Web Services (AWS) services and resources. Used to create PlantUML diagrams with AWS components. All elements are generated from the ...
Chicago Sun-Times

Under first Latina curator, Chicago Architecture Biennial opened with a deep dive into ‘radical change’

Why are we asking for donations? Why are we asking for donations? This site is free thanks to our community of supporters. Voluntary donations from readers like you keep our news accessible for ...
IEEE

A Physics-ASIC Architecture-Driven Deep Learning Photon-Counting Detector Model Under Limited Data

Abstract: Photon-counting computed tomography (PCCT) based on photon-counting detectors (PCDs) represents a cutting-edge CT technology, offering higher spatial resolution, reduced radiation dose, and ...
eLife

Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage

This study presents DeepTX, a valuable methodological tool that integrates mechanistic stochastic models with single-cell RNA sequencing data to infer transcriptional burst kinetics at genome scale.
TechRepublic

Gemini 2.5 Deep Think Is Google’s Most Advanced AI Model to Date

Gemini 2.5 Deep Think Is Google’s Most Advanced AI Model to Date Your email has been sent Deep Think, a multi-agent AI model from the Google DeepMind team, is now available via the Gemini app. While ...
Frontiers

Deep learning in assisting dermatologists in classifying basal cell carcinoma from seborrheic keratosis

Objectives: This study aimed to evaluate the effectiveness of deep learning model in assisting dermatologists in classifying basal cell carcinoma (BCC) from seborrheic keratosis (SK). The goal was to ...