Tag: ai/ml

Harnessing optimized AI models for healthcare is easier than ever as NVIDIA NIM, a collection of cloud-native microservices, integrates with Amazon Web Services. NIM, part of the NVIDIA AI Enterprise software platform available on AWS Marketplace, enables developers to access a growing library of AI models through industry-standard application programming interfaces, or APIs. The library …

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We investigate the capabilities of transformer models on relational reasoning tasks. In these tasks, models are trained on a set of strings encoding abstract relations, and are then tested out-of-distribution on data that contains symbols that did not appear in the training dataset. We prove that for any relational reasoning task in a large family …

Read more “When can transformers reason with abstract symbols?”

Unlocking the full potential of supply chain management has long been a goal for businesses that seek efficiency, resilience and sustainability. In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. AI tools help users address queries and resolve alerts by using …

Read more “How generative AI will revolutionize supply chain “

The rapid advancement of Voice User Interfaces (VUIs) has underscored the importance of verbal fluency in the realm of digital interaction. But how does verbal fluency influence the usability and efficacy of a VUI (Voice user Interface)? Photo by Icons8 Team on Unsplash Verbal fluency, the ability to think of words quickly and efficiently, is paramount …

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Sleep staging is a clinically important task for diagnosing various sleep disorders but remains challenging to deploy at scale because it requires clinical expertise, among other reasons. Deep learning models can perform the task but at the expense of large labeled datasets, which are unfeasible to procure at scale. While self-supervised learning (SSL) can mitigate …

Read more “Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction”

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