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 ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

MIT's AI-infused mechanical engineering class, led by Professor Faez Ahmed, gains popularity for its innovative design ...

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.

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.

Streamlit, a new machine learning startup from industry veterans who worked at GoogleX and Zoox, launched today with a $6 million seed investment and a flexible new open-source tool to make it ...