Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. As AI technology moves beyond automation to augmentation, companies may be looking at how AI tools can make the work of human resources …
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Posted by Sagar M. Waghmare, Senior Software Engineer, and Kimberly Wilber, Software Engineer, Google Research, Perception Team As most people navigate their everyday world, they process visual input from the environment using an eye-level perspective. Unlike robots and self-driving cars, people don’t have any “out-of-body” sensors to help guide them. Instead, a person’s sensory input …
Today, we are excited to announce that the Mistral 7B foundation models, developed by Mistral AI, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. With 7 billion parameters, Mistral 7B can be easily customized and quickly deployed. You can try out this model with SageMaker JumpStart, a …
From the first assembly lines to the robotics revolution, the manufacturing industry continually strives to find new ways to boost productivity while lowering costs. Today, major trends are driving the need for further transformation, and generative AI is helping pave that path forward. Factors like supply chain disruptions have wreaked havoc on bottom lines, with …
Read more “Five use cases for manufacturers to get started with generative AI”
Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. The applications also extend into retail, where they can enhance customer experiences through dynamic chatbots and AI assistants, and into digital marketing, where they can organize customer feedback and recommend products based on descriptions and purchase …
Read more “Personalize your generative AI applications with Amazon SageMaker Feature Store”
Artificial Intelligence (AI) is increasingly playing an integral role in determining our day-to-day experiences. The applications of AI are rapidly expanding beyond search and recommendation systems to encompass high-stakes domains such as hiring, lending, criminal justice, healthcare, and education. The potential impact of AI on individuals, businesses, and society is vast, and it is essential …
Read more “Built with Google AI: Achieve better observability for ML models with Fiddler AI”
Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract, Amazon Transcribe, and Amazon Comprehend. Organizations have started to use AI/ML services like Amazon Comprehend to build classification …
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Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes …
Read more “Scalable spherical CNNs for scientific applications”
GraphQL has emerged as a key technology in the API space, with a growing number of organizations adopting this new API structure into their ecosystems. GraphQL is often seen as an alternative to REST APIs, which have been around for a long time. Compared to REST APIs (or other traditional API specifications), GraphQL provides more …
Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes …
Read more “Scalable spherical CNNs for scientific applications”