Technology is advancing at an unprecedented rate, and terms like “machine learning”, “deep learning”, and “neural networks” ...

In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...

As a global leader in intelligent video surveillance products and solutions, Hikvision has been continuously increasing its investment in the field of artificial intelligence in recent years.

Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java. Artificial neural networks are a form of deep learning ...

A lab has developed a deep neural network that improves the accuracy of their unique devices for detecting pathogen biomarkers. Sophisticated systems for the detection of biomarkers -- molecules such ...

A landmark has been reached in the field of physics and artificial intelligence with the successful resolution of a ...

Objective Vestibular and ocular symptoms in sports-related concussions are common. The Vestibular/Ocular-Motor Screening (VOMS) is a quick, free, pen and paper tool that directly assesses these ...

Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients Whole-slide images (WSIs ...