StoppingPower

Developing industrial use cases for physical simulation on future error-corrected quantum computers

Posted by Nicholas Rubin, Senior Research Scientist, and Ryan Babbush, Head of Quantum Algorithms, Quantum AI Team If you’ve paid attention to the quantum computing space, you’ve heard the claim that in the future, quantum computers will solve certain problems exponentially more efficiently than classical computers can. They have the potential to transform many industries, …

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Build AI/ML and generative AI applications in Python with BigQuery DataFrames

Trends in the data space such as generative AI, distributed storage systems, unstructured data formats, MLOps, and the sheer size of datasets are making it necessary to expand beyond the SQL language to truly analyze and understand your data. To provide users with more flexibility of coding languages, we announced BigQuery DataFrames at Next ‘23. …

Enhancing customer experience: Streamlining orders with custom email notifications in IBM Cloud

Let’s consider the operations manager of a thriving online business specializing in handmade crafts. This operations manager understood the importance of catering to their loyal customer base, some of whom resided in different time zones. In their quest to provide exceptional service, they faced a challenge—how to ensure that customers could place orders as soon …

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Improve performance of Falcon models with Amazon SageMaker

What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? Despite the abundance of options for serving LLMs, this is a hard question to answer due to the size of the models, varying model architectures, performance requirements of applications, and more. The Amazon SageMaker Large Model Inference …

IBM watsonx Assistant: Driving generative AI innovation with Conversational Search

Generative AI has taken the business world by storm. Organizations around the world are trying to understand the best way to harness these exciting new developments in AI while balancing the inherent risks of using these models in an enterprise context at scale. Whether its concerns over hallucination, traceability, training data, IP rights, skills, or …

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New – No-code generative AI capabilities now available in Amazon SageMaker Canvas

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code. Ready-to-use models enable you to derive immediate insights from text, image, and document …

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SANPO: A Scene understanding, Accessibility, Navigation, Pathfinding, & Obstacle avoidance dataset

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 …