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? …

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Transforming Veteran Outreach

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 …

Responsible AI can revolutionize tax agencies to improve citizen services

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. …

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Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker

Genomic language models are a new and exciting field in the application of large language models to challenges in genomics. In this blog post and open source project, we show you how you can pre-train a genomics language model, HyenaDNA, using your genomic data in the AWS Cloud. Here, we use AWS HealthOmics storage as …

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Anthropic’s Claude 3 Opus and tool use are generally available on Vertex AI

In April, we made Anthropic’s most intelligent model, Claude 3 Opus, available in public preview on Vertex AI Model Garden for customers to start experimenting with. Now, we’re announcing that Claude 3 Opus is generally available on Vertex AI. We’re also excited to announce that tool use is available for all Claude 3 models on …

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How to Create a WhatsApp Chatbot Using UChat?

Why use UChat for building Bots? UChat is the ultimate chatbot platform; it will help you provide 24/7 support, engage with customers, and increase sales conversions. UChat is a no-code chatbot builder that automates your business with Google AI, e-commerce functionality, and app integrations. Key features of UChat are: Omni Channel Flow builder Multiple Channels: support up to …

Affine-based Deformable Attention and Selective Fusion for Semi-dense Matching

This paper was accepted at the Image Matching: Local Features & Beyond workshop at CVPR 2024. Identifying robust and accurate correspondences across images is a fundamental problem in computer vision that enables various downstream tasks. Recent semi-dense matching methods emphasize the effectiveness of fusing relevant cross-view information through Transformer. In this paper, we propose several …