Organizations are increasingly using machine learning pipelines to streamline and scale their ML workflows. However, managing these pipelines can be challenging when an organization has multiple ML projects and pipelines at different stages of development. To solve this, we need a way to build upon DevOps concepts and apply them to this ML-specific problem. In …
Read more “Best Practices for managing Vertex Pipelines code”
Two months after their debut sweeping MLPerf inference benchmarks, NVIDIA H100 Tensor Core GPUs set world records across enterprise AI workloads in the industry group’s latest tests of AI training. Together, the results show H100 is the best choice for users who demand utmost performance when creating and deploying advanced AI models. MLPerf is the …
Read more “NVIDIA Hopper, Ampere GPUs Sweep Benchmarks in AI Training”
Call it the ultimate example of a job that’s sometimes best done remotely. Wildlife researchers say rhinos are magnificent beasts, but they like to be left alone, especially when they’re with their young. In the latest example of how researchers are using the latest technologies to track animals less invasively, a team of researchers has …
Read more “HORN Free! Roaming Rhinos Could Be Guarded by AI Drones”
Posted by Shunyu Yao, Student Researcher, and Yuan Cao, Research Scientist, Google Research, Brain Team Recent advances have expanded the applicability of language models (LM) to downstream tasks. On one hand, existing language models that are properly prompted, via chain-of-thought, demonstrate emergent capabilities that carry out self-conditioned reasoning traces to derive answers from questions, excelling …
Read more “ReAct: Synergizing Reasoning and Acting in Language Models”
The COVID-19 global pandemic has accelerated the need to verify and onboard users online across several industries, such as financial services, insurance, and healthcare. When it comes to user experience it is crucial to provide a frictionless transaction while maintaining a high standard for identity verification. The question is, how do you verify real people …
Read more ““ID + Selfie” – Improving digital identity verification using AWS”
Amazon SageMaker is a fully-managed service that provides every developer and data scientist with the ability to quickly build, train, and deploy machine learning (ML) models at scale. ML is realized in inference. SageMaker offers four Inference options: Real-Time Inference Serverless Inference Asynchronous Inference Batch Transform These four options can be broadly classified into Online …
Read more “Getting started with deploying real-time models on Amazon SageMaker”
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, and is composed of tumors with significant molecular heterogeneity resulting from differences in intrinsic oncogenic signaling pathways [1]. Enabling precision medicine, anticipating patient preferences, detecting disease, and improving care quality for NSCLC patients are important topics among healthcare and life sciences (HCLS) …
Read more “Predict lung cancer survival status using multimodal data on Amazon SageMaker JumpStart”
Cloud technology has experienced accelerated adoption in recent years, with continued growth expected into 2023.1 This means that the need for organizations to attract and retain professionals with cloud skills continues to grow in parallel.2 Keep your cloud career growing, at pace with digital transformation In partnership with Google Cloud, Coursera is offeringno-cost access to …
Read more “Upskill for in-demand cloud roles with no-cost training on Coursera”
As I type this blog in a Google Doc, I can’t help but think about how much we rely on digital documents to communicate, collaborate, and do business. Yet most of the data in documents remains un-analyzed. Even when documents are part of customer-facing workflows like processing a mortgage application or a contract, businesses frequently …
Read more “Document AI: A unified AI agent for your document processing needs”
Introduction In my experience, I have observed that it’s common in machine learning to surrender to the process of experimenting with many different algorithms in a trial and error fashion, until you get the desired result. My peers and I at Google have a People and Planet AI YouTube series where we talk about how …
Read more “Intro to deep learning to track deforestation in supply chains”