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?

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 ...

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

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.

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 ...

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.

Manoj Tumu, shares how he landed an offer package of over $400,000 for an AI role at Meta and his advice for people entering tech.