Choosing the right text representation is a critical first step in any natural language processing (NLP) project.
Large foundation models are typically trained on data from multiple domains, with the data mixture—the proportion of each domain used—playing…
By Prudhviraj Karumanchi, Samuel Fu, Sriram Rangarajan, Vidhya Arvind, Yun Wang, John LuIntroductionNetflix operates at a massive scale, serving hundreds of…
This blog was co-authored with Kuldeep Singh, Head of AI Platform at Innovaccer. The integration of agentic AI is ushering…
Apple's flagship earbuds are revised and better than ever, especially if you crave silence.
Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use…
This post summarizes a very important livestream with a WAN engineer. It will at least be partially open (model architecture,…
New era of physical agents will help robots perceive, plan, think, use tools and act to solve complex tasks.
Self-supervised learning (SSL) has made significant advances in speech representation learning. Models like wav2vec 2.0 and HuBERT have achieved state-of-the-art…