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 ...

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 ...

Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to ...

Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for.

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.

Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution.