Morning Overview on MSN

AI helped uncover a promising new superconducting material

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

AI has the potential to radically transform financial services. But first banks need to get their data in order.

Chatbots and fraud prevention applications are becoming more common, but banks are still doing the essential data work needed so AI can do the more ambitious work around investment recommendations.

Researchers co-develop new deep learning platform to advance precision medicine

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...

What is the Difference Between Deep Learning and Machine Learning

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Que.com on MSN

Understanding AI: Breaking down machine learning, deep learning, and generative AI

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...
The Lancet

Deep learning algorithms for identifying developmental dysplasia of the hip based on sonographic images: a retrospective, prospective, multicenter study in China

aDepartment of Medical Ultrasonics, Affiliated Shenzhen Children's Hospital, College of Medicine, Shantou University, No. 7019 Yitian Road, Shenzhen, China bShenzhen University Medical School, ...
Frontiers

Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway

Remote sensing is a key tool to derive glacier surface velocities but existing mapping methods, such as cross-correlation techniques, can fail where surface properties change temporally or where large ...
IEEE

Efficient Array Pattern Prediction Using a Deep Learning Algorithm

Abstract: In this article, a deep-learning (DL) algorithm is proposed to efficiently predict the pattern of the antenna array. By establishing the Bayesian-optimized convolutional neural network (CNN) ...