Tag: faang

Two decades ago, humanity first sequenced its own genetic code, the start of an unprecedented look at the roles and interactions of amino acids, proteins, and other building blocks of life. From both a scientific and healthcare basis, we’ve arrived in a new world of knowledge and treatment, based on discerning the code of life. …

Read more “How HPC and generative AI will accelerate drug discovery and precision medicine”

Chip manufacturing is an “ideal application” for NVIDIA accelerated and AI computing, NVIDIA founder and CEO Jensen Huang said Tuesday. Detailing how the latest advancements in computing are accelerating “the world’s most important industry,” Huang spoke at ITF World 2023 semiconductor conference in Antwerp, Belgium. Huang delivered his remarks via video to a gathering of …

Read more “Chip Manufacturing ‘Ideal Application’ for AI, NVIDIA CEO Says”

AI and automation are driving business transformation by empowering individuals to do work without expert knowledge of business processes and applications. Whether it’s an employee who knows what they need but doesn’t know how to do it, a knowledge worker who knows how to do the task but needs help doing it more efficiently, or …

Read more “Transform digital experiences and unlock productivity with advanced generative AI”

Foundational models are trained on extensive unlabeled data and used for downstream  generative AI tasks, such as text, images, and music generation. They are increasingly popular as businesses explore their potential to create new products and services. You can use foundational models for use cases like image generation. Diffusion models are generative models that have …

Read more “Deploying your Generative AI model in only four steps with Vertex AI and PyTorch”

Creating conversational interfaces has become increasingly important as businesses look to provide more personalized and efficient customer service. One way to achieve this is by using Natural Language Processing (NLP) and React to build conversational interfaces that can understand and respond to user input naturally. Understanding Natural Language Processing Before we dive into creating conversational …

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Self-training has been shown to be helpful in addressing data scarcity for many domains, including vision, speech, and language. Specifically, self-training, or pseudo-labeling, labels unsupervised data and adds that to the training pool. In this work, we investigate and use pseudo-labeling for a recently proposed novel setup: joint transcription and translation of speech, which suffers …

Read more “Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data”