Understanding the Difference Between Supervised vs Unsupervised Machine Learning Artificial intelligence (AI) is being used to change our lives everyday. When it comes to building AI programs, there are two approaches programmers tend to choose: supervised or unsupervised machine learning. The simple distinction between these is supervised machine learning utilizes labeled data to predict outcomes, while unsupervised machine learning…

Hugging Face 🤗: The Best Natural Language Processing Ecosystem You’re Not Using? If you’ve been even vaguely aware of developments in machine learning and AI over the last few years since 2018, you definitely have heard of the massive progress being made in the world of Natural Language Processing (or NLP) due in large part to the development of larger and larger…

Optimizing Our Supply Chain Using Artificial Intelligence Supply chains have gotten increasingly more complicated to manage in recent years. Physical flows are becoming more interconnected and market volatility has increased the requirement for agility and adaptability. This has only been exacerbated by the COVID-19 pandemic which has seen an increased global demand for resources while juggling a…

The CPU Battle: Intel vs AMD When it comes to the battle of CPUs, there is no fiercer competition than Intel vs AMD. In fact, aside from these two companies, there is virtually no other processor that comes close to competing in the processor ring. While there are plenty of other brands out there that provide…

How Computer Vision Can Help Fight Climate Change One can only assume that as AI is utilized in more industries and fields of study that it is a matter of time before AI, specifically computer vision, is used to tackle climate change. …

Deep Learning and Machine Learning Memory Requirements Building a machine learning workstation can be difficult, not to mention choosing the right workstation with the proper machine learning memory requirements. There are a lot of moving parts based on the types of projects you plan to run. Understanding machine learning memory requirements is a critical part of the…

Federated Learning: Privacy, Security, and Data Sovereignty in the Lab and in the Wild (with Tutorial) Federated learning, also known as collaborative learning, allows training models at scale on data that remains distributed on the devices where they are generated. Sensitive data remains with the owners of said data, where training is conducted, and a centralized training orchestrator of training only sees the contribution of each…

What is NVIDIA NGC? Modern science- and enterprise-driven Artificial intelligence (AI) and Machine Learning (ML) workflows are not simple to execute given the complexities arising from multiple packages and frameworks often used in any such typical task. …

What Are the Best Processors for Machine Learning? Choosing one out of the many options of processors for machine learning can be tricky. Not because of the crazy amount of options available, but because there is always the debate between whether or not you should rely on a CPU for machine learning or a GPU. You need both…