Building user interfaces for machine learning applications What are the key criteria to be considered when choosing a framework to build a user interface for machine learning applications?

Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, wear, or malfunction.

Applications Big Data and Analytics IT Management Why Machine Learning Projects Fail – and How to Make Sure They Don’t The first step to a successful ML project is to understand that these ...

I started my career as a Java engineer developing software applications. Six or seven years later, I came across the profile of machine learning. Machine learning was not in a boom at that moment. The ...

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.

KataOS is the main core of Project Sparrow, which combines the new OS with a secured hardware platform to power embedded devices that run machine learning (ML) applications.

Key applications of machine learning in finance Machine learning is changing the face of finance by automating complex processes, increasing security and allowing better decision-making.

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Successful application of machine learning in the discovery of new polymers Date: July 19, 2019 Source: Tokyo Institute of Technology Summary: As a powerful example of how artificial intelligence ...