The unprecedented interest, investment, and deployment of machine learning across many aspects of our lives in the past decade has come with a cost. Although there has been some movement towards moderating machine learning where it has been genuinely har…

“Probabilistic Machine Learning” – a book series by Kevin Murphy – probml/pml-book…

How AI and Machine Learning is integrated into beekeeping and how it can help beekeepers.

Each and every day, we create 2.5 quintillion bytes of data and the pace is constantly increasing. We have created 90% of the data…

Developing a multi-stage neural network-based solution that accurately locates and tracks the hands despite complex background noise and occlusion between hands.

The past decade has witnessed a groundbreaking rise of machine learning for human language analysis, with current methods capable of automatically accurately recovering various aspects of syntax and semantics – including sentence structure and grounded wo…

A collaboration from UoC Berkeley, Stanford University and Facebook offers a deeper and more granular picture of the actual state of poverty in and across nations, through the use of machine learning. The research, entitled Micro-Estimates of Wealth for a…

The purpose of this article and further ones in the “ML 101” series is to discuss the fundamental concepts of Machine Learning. I want to ensure that all the concepts I might use in the future are clearly defined and explained. One of the most significant…

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt …