The journey toward autonomy for sustainability begins on the ground

Industrial automation has become a critical enabler of sustainability and operational efficiency, equipping industries with ...
IEEE

A Study of Data Augmentation for Learning-Driven Scientific Visualization

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...
C&EN

MolAI: A Deep Learning Framework for Data-Driven Molecular Descriptor Generation and Advanced Drug Discovery Applications

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
IEEE

Using Deep Learning for Data-Driven Seismic Velocity and Source Wavelet Inversion

Abstract: Full-waveform inversion (FWI) requires an accurate representation of the source wavelet to enhance the reliability of model reconstruction. Traditional wavelet estimation methods depend on ...
C&EN

Integrating Physics-Based Simulations with Data-Driven Deep Learning Represents a Robust Strategy for Developing Inhibitors Targeting the Main Protease

Institute of Quantitative Biology, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China ...
Consumer Reports

Deep Brand Frozen Sprouted Beans Recalled After Link to Salmonella Outbreak

Eleven people across 10 states have become ill with a strain of salmonella that matches a strain found in two frozen sprouted bean products, Deep brand Sprouted Mat (moth beans) and Deep brand ...
Microsoft

Breaking bonds, breaking ground: Advancing the accuracy of computational chemistry with deep learning

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...
Frontiers

Deep learning-based object detection for environmental monitoring using big data

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
Frontiers

Deep learning based AI-driven teaching models in Chinese high school English class: a case study of reading lessons

The traditional English teaching model placed more emphasis on the rote memorization of knowledge, with less focus on encouraging deeper cognitive engagement, which may lead to more fragmented ...
Microsoft

Abstracts: Heat Transfer and Deep Learning with Hongxia Hao and Bing Lv

Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts bring its audience to the cutting edge with them through short, compelling conversations ...