Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

AI system translates protein sequences into text, helping reveal functions of unknown proteins

In a paper published in Proceedings of the National Academy of Sciences, researchers from Technion and Tel Aviv University ...
technologynetworks

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
Outlook Business

IITM Pravartak Announces Batch 03 Of Applied Artificial Intelligence And Deep Learning Programme To Build Enterprise-Ready AI Talent

Chennai (Tamil Nadu) [India], June 17: As enterprises move from exploratory AI use cases to scalable, production-ready implementations, IITM Pravartak, Technology Innovation Hub of IIT Madras, in ...
Nature

Normalization Techniques in Deep Neural Networks

Normalization techniques have become integral to the training of deep neural networks, serving to stabilise learning dynamics, accelerate convergence and improve generality. At their core, these ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Scientific Research Publishing

Li, X., Jiang, M., Zhang, X., Kamp, M. and Dou, Q. (2021) FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. arXiv: 2102.07623v2.

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
IEEE

BNResNet: Batch Normalization-Inspired Deep Bottleneck Residual Architecture for Aerial Scene Recognition in Low-Contrast Remote Sensing Images

Abstract: Remote sensing (RS) images are evolving daily for their applications in surveillance, planned urbanization, law enforcement, climate change detection, agriculture, and monitoring ...
IEEE

Pseudoinverse Learning Algorithm As a Unified Framework For Normalization In Deep Learning

Abstract: In recent years, several normalization methods have been proposed in order to train neural networks, including batch normalization, layer normalization, weight normalization, and group ...