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Generative AI to quantify uncertainty in weather forecasting

Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent actions, for example, protecting people in the face of hazardous weather conditions. The importance …

Embedding Pose Graph, Enabling 3D Foundation Model Capabilities with a Compact Representation

This paper presents the Embedding Pose Graph (EPG), an innovative method that combines the strengths of foundation models with a simple 3D representation suitable for robotics applications. Addressing the need for efficient spatial understanding in robotics, EPG provides a compact yet powerful approach by attaching foundation model features to the nodes of a pose graph. …

Agility, flexibility and security: The value of cloud in HPC

In today’s competitive business environment, firms are confronted with complex, computational issues that demand swift resolution. Such problems might be too intricate for a single system to handle or might require an extended time to resolve. For companies that need quick answers, every minute counts. Allowing problems to linger for weeks or months is not …

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Generative AI to quantify uncertainty in weather forecasting

Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent actions, for example, protecting people in the face of hazardous weather conditions. The importance …

TF BEDROCK CUSTOM MODEL GENERATION BASIC 2

Streamline custom model creation and deployment for Amazon Bedrock with Provisioned Throughput using Terraform

As customers seek to incorporate their corpus of knowledge into their generative artificial intelligence (AI) applications, or to build domain-specific models, their data science teams often want to conduct A/B testing and have repeatable experiments. In this post, we discuss a solution that uses infrastructure as code (IaC) to define the process of retrieving and …

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Extend Session Timeout For Dialogflow CX

What is a Session Timeout? Once your webhook service receives a webhook request, it needs to send a webhook response. The following limitations apply to your response: The response must occur within a timeout (max 30 seconds) that you configure when creating the webhook resources, otherwise, the request will time out. The response must be less than …

Field programmable gate arrays (FPGAs) vs. microcontrollers: What’s the difference?

Field programmable gate arrays (FPGAs) and microcontroller units (MCUs) are two types of commonly compared integrated circuits (ICs) that are typically used in embedded systems and digital design. Both FPGAs and microcontrollers can be thought of as “small computers” that can be integrated into devices and larger systems. As processors, the primary difference between FPGAs …

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Implement serverless semantic search of image and live video with Amazon Titan Multimodal Embeddings

In today’s data-driven world, industries across various sectors are accumulating massive amounts of video data through cameras installed in their warehouses, clinics, roads, metro stations, stores, factories, or even private facilities. This video data holds immense potential for analysis and monitoring of incidents that may occur in these locations. From fire hazards to broken equipment, …

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Getting started with retrieval augmented generation on BigQuery with LangChain

The ability of large language models (LLMs) to process and generate human language continues to revolutionize many aspects of business. But an LLM’s knowledge is limited to the data it was trained on, which can cause drawbacks when dealing with specific company information or nuanced industry contexts. Retrieval-augmented generation (RAG) offers a powerful solution to …

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement

Contrastive language image pretraining (CLIP) is a standard method for training vision-language models. While CLIP is scalable, promptable, and robust to distribution shifts on image classification tasks, it lacks object localization capabilities. This paper studies the following question: Can we augment CLIP training with task-specific vision models from model zoos to improve its visual representations? …