Work orders are the driving force behind any organization’s asset management apparatus. Whenever a person or entity submits a service request, the maintenance team that receives it must create a formal paper and/or digital document that includes all the details of maintenance tasks and outlines a process for completing the tasks. That document is called …
Data is the foundation for machine learning (ML) algorithms. One of the most common formats for storing large amounts of data is Apache Parquet due to its compact and highly efficient format. This means that business analysts who want to extract insights from the large volumes of data in their data warehouse must frequently use …
Manual document classification and extraction is still a time-consuming and difficult task for many organizations. This blog series aims to demonstrate how Google Cloud products like Document AI and BigQuery can be used together to help organizations eliminate manual document processing. In the first part of this blog series, we discussed how to digitize grocery …
Read more “From Receipts to Riches: Save Money w/ Google Cloud & Supermarket Bills – Part 2”
Jiusheng Chen’s team just got accelerated. They’re delivering personalized ads to users of Microsoft Bing with 7x throughput at reduced cost, thanks to NVIDIA Triton Inference Server running on NVIDIA A100 Tensor Core GPUs. It’s an amazing achievement for the principal software engineering manager and his crew. Tuning a Complex System Bing’s ad service uses …
Read more “Microsoft Bing Speeds Ad Delivery With NVIDIA Triton”
Multimodal learning is defined as learning over multiple heterogeneous input modalities such as video, audio, and text. In this work, we are concerned with understanding how models behave as the type of modalities differ between training and deployment, a situation that naturally arises in many applications of multimodal learning to hardware platforms. We present a …
Read more “Robustness in Multimodal Learning under Train-Test Modality Mismatch”
In the rapidly evolving landscape of financial services, embracing AI and digital innovation at scale has become imperative for banks to stay competitive. With the power of AI and machine learning, financial institutions can leverage predictive analytics, anomaly detection and shared learning models to enhance system stability, detect fraud and drive superior customer-centric experiences. As …
Read more “Accelerating AI & Innovation: the future of banking depends on core modernization”
Posted by Arsha Nagrani and Paul Hongsuck Seo, Research Scientists, Google Research Automatic speech recognition (ASR) is a well-established technology that is widely adopted for various applications such as conference calls, streamed video transcription and voice commands. While the challenges for this technology are centered around noisy audio inputs, the visual stream in multimodal videos …
Read more “AVFormer: Injecting vision into frozen speech models for zero-shot AV-ASR”
I hope this email finds you well. I wanted to reach out with an exciting update: we are having a 48-Hour Flash Sale on our highly anticipated AI & Chatbot Certified Workshops, and I didn’t want you to miss out on this amazing opportunity! For the next 48 hours only, you can take advantage of …
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Multilingual Machine Translation promises to improve translation quality between non-English languages. This is advantageous for several reasons, namely lower latency (no need to translate twice), and reduced error cascades (e.g. , avoiding losing gender and formality information when translating through English). On the downside, adding more languages reduces model capacity per language, which is usually …
Read more “Learning Language-Specific Layers for Multilingual Machine Translation”
Our goal is to facilitate the development of AI-powered cybersecurity capabilities for defenders through grants and other support.