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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 …
Read more “Agility, flexibility and security: The value of cloud in HPC”
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 …
Read more “Generative AI to quantify uncertainty in weather forecasting”
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 …
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) 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 …
Read more “Field programmable gate arrays (FPGAs) vs. microcontrollers: What’s the difference?”
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, …
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 …
Read more “Getting started with retrieval augmented generation on BigQuery with LangChain”
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? …
Read more “CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement”
VA & Palantir improve care enrollment for Veterans exposed to toxic burn pits Toxic burn pit exposures prompted the passage of the PACT Act in August 2022. Named in honor of Sergeant First Class Heath Robinson, the Promise to Address Comprehensive Toxics (PACT) Act ensures disability benefits and access to VA healthcare for millions of Veterans …
The new era of generative AI has spurred the exploration of AI use cases to enhance productivity, improve customer service, increase efficiency and scale IT modernization. Recent research commissioned by IBM® indicates that as many as 42% of surveyed enterprise-scale businesses have actively deployed AI, while an additional 40% are actively exploring the use of AI technology. …
Read more “Responsible AI can revolutionize tax agencies to improve citizen services”