In this video, I’ll share 15 programming project ideas—5 each for beginners, intermediate, and advanced developers. From ...

From deepfakes to natural language processing and more, the open source world is ripe with projects to support software development on the frontiers of artificial intelligence and machine learning.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

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.

Central to Project Dojo's mission is its contribution to the future of machine learning. The Dojo supercomputer stands tall as the cornerstone for training cutting-edge machine-learning models.

But as machine learning models grow in number and size, they will require more training data. Unfortunately, obtaining training data and annotating still requires considerable manual effort and is ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Hammer's gonna be the death of me Machine learning, concluded: Did the “no-code” tools beat manual analysis? In the finale of our experiment, we look at how the low/no-code tools performed.

Quantum machine learning (QML) is transitioning from research to practical business applications. Discover how QML is ...

Module 1 | Introduction to Machine Learning, Linear Regression This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem ...

And machine learning allows the BirdCast team to take things further: By training an algorithm to learn what atmospheric conditions are associated with migration, we can use predicted conditions ...