IntroductionMachine Learning (ML) is a field of study that focuses on developing algorithms to learn automatically from data, making predictions and inferring patterns without...
PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. One...
Payment fraud has tripled from $9.84 billion in 2011 to $32.39 billion in 2020 globally. It is projected to continue increasing, reaching an estimated...
In the realm of generative AI, open-source projects have emerged as powerful tools that democratize access to cutting-edge models and foster collaborative development. They...
New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. Combined with their flexibility, high...
The rapid adoption of smart phones and other mobile platforms has generated an enormous amount of image data. According to Gartner, unstructured data now...
Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the...
Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the...
Sponsored Feature Training an AI model takes an enormous amount of compute capacity coupled with high bandwidth memory. Because the model training can be...
In this article, we’ll cover why image recognition matters for your business and how Nanonets can help optimize your business wherever image recognition is...
