Tensorization: Breaking Through The Ranks

One of the key drivers behind the rapid expansion in machine learning growth is the technological progress made in the development of...

Machine learning has witnessed a surge in interest in recent years driven by several factors. including the availability of large datasets, advancements in transfer learning...

Machine learning (ML) models are becoming more complex and data-intensive, requiring more expensive hardware and infrastructure to train and run. As a result...

AI has been in an ever expanding renaissance for the past decade, with the success of AlexNet being a pivotal moment which sparked a new wave of deep learning research in 2012. Since then, there have been several step change moments, such as the success of reinforcement learning algorithms on...