In recent years, there has been growing attention on generative AI, which automatically creates text and images. Since its emergence, generative AI technology has...
Multimodal search enables both text and image search capabilities, transforming how users access data through search applications. Consider building an online fashion retail store:...
Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually identifying all mentions of...
Introduction
This article will examine machine learning (ML) vs neural networks. Then, we will get to know the similarities and differences between them. Machine learning...
NVIDIA has announced NVIDIA Omniverse Cloud Sensor RTX, a set of microservices that enable physically accurate sensor simulation to accelerate the development of fully...
Gallium nitride can take the heat
Researchers from Massachusetts Institute of Technology (MIT), the UAE’s Technology Innovation Institute, Ohio State University, Rice University, and Bangladesh...
Registration deadline: 24 June 2024
This activity focuses on building a range of data-related skills that are vital for addressing trans-disciplinary challenges in contemporary research...
Hands on If you've been following enterprise adoption of AI, you've no doubt heard the term “RAG” tossed around.
Short for retrieval augmented generation, the...
Giant Chips Give Supercomputers a Run for Their MoneyGina Genkina | IEEE Spectrum“ demonstrated that its second generation wafer-scale engine, WSE-2, was significantly faster...
Introduction
Tensorflow and Keras are well-known machine learning frameworks for data scientists or developers. In the upcoming sections we will examine the pros, downsides, and...
Introduction
Many methods have been proven effective in improving model quality, efficiency, and resource consumption in Deep Learning. The distinction between fine-tuning vs full training...
