Special issue on deep learning modeling in real life: anomaly detection, biomedical, concept analysis, finance, image analysis, recommendationDEEP learningIMAGE analysisARTIFICIAL neural networksNATURAL language processingNeural Computing and Applications -...
For its part, Google revealed in May that for over a year it had been secretly using its own tailor-made chips, called tensor processing units, or TPUs, to implement applications trained by deep learning. (Tensors are arrays of numbers, like matrices, which are often multiplied against one...
Deep Learning is contributing to healthcare by mitigating health risks while bringing down costs. It has found its applications mainly in clinical research in the field of medicine. Deep Learning has the potential to become a handy diagnostic companion for inpatients and trigger alerts during high-r...
Venture capitalists, who didn’t even know what deep learning was five years ago, today are wary of startups that don’t have it. “We’re now living in an age,” Chen observes, “where it’s going to be mandatory for people building sophisticated software applications.” People will so...
Although applications of deep learning have been primarily focused on image recognition, video and sound analyses, as well as natural language processing, it also opens doors in life sciences, which will be discussed in detail in the next sections. Brief description of deep learning Although the ...
Top 20 Inspirational Deep Learning Applications: Check the best Application of Deep Learning it will rule the world in 2025 and beyond, it will change the real life in future.
To get a sense of how deep learning is being applied today, take a look at 20 innovative deep learning examples below. Top Deep Learning Applications to Know Fraud Detection Fraud is a growing problem in the digital world. In 2022, consumers reported 2.4 million cases of fraud to the Fede...
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. - NVIDIA/DALI
micromachines Article Research on Robot Grasping Based on Deep Learning for Real-Life Scenarios Jie Hu 1 , Qin Li 1,* and Qiang Bai 2 1 College of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China; jason.houu@gmail.com 2 School of Mechanical Engineering...
However, the rapid development of deep learning has provided a powerful tool for conducting research on highly intelligent robots, thereby offering tremendous potential for the application of robotic arms in daily life scenarios. This paper investigates multi-object grasping in real-life scenarios. We ...