faang - Robotic Content

Subspace Recovery from Heterogeneous Data with Non-isotropic Noise

by AI Generated Robotic ContentFAANG November 11, 2022Comments are Disabled

*= Equal Contributions Recovering linear subspaces from data is a fundamental and important task in statistics and machine learning. Motivated by heterogeneity in Federated Learning settings, we study a basic formulation of this problem: the principal component analysis (PCA), with a focus on dealing with irregular noise. Our data come from users with user contributing …

Characterizing Emergent Phenomena in Large Language Models

by AI Generated Robotic ContentFAANG November 11, 2022Comments are Disabled

Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team The field of natural language processing (NLP) has been revolutionized by language models trained on large amounts of text data. Scaling up the size of language models often leads to improved performance and sample efficiency on a range of downstream NLP tasks. …

How Prodege saved $1.5 million in annual human review costs using low-code computer vision AI

by AI Generated Robotic ContentFAANG November 11, 2022Comments are Disabled

This post was co-authored by Arun Gupta, the Director of Business Intelligence at Prodege, LLC. Prodege is a data-driven marketing and consumer insights platform comprised of consumer brands—Swagbucks, MyPoints, Tada, ySense, InboxDollars, InboxPounds, DailyRewards, PollFish, and Upromise—along with a complementary suite of business solutions for marketers and researchers. Prodege has 120 million users and has …

Identifying and avoiding common data issues while building no code ML models with Amazon SageMaker Canvas

by AI Generated Robotic ContentFAANG November 11, 2022Comments are Disabled

Business analysts work with data and like to analyze, explore, and understand data to achieve effective business outcomes. To address business problems, they often rely on machine learning (ML) practitioners such as data scientists to assist with techniques such as utilizing ML to build models using existing data and generate predictions. However, it isn’t always …

MAEEG: Masked Auto-encoder for EEG Representation Learning

by AI Generated Robotic ContentFAANG November 10, 2022Comments are Disabled

This paper was accepted at the Workshop on Learning from Time Series for Health at NeurIPS 2022. Decoding information from bio-signals such as EEG, using machine learning has been a challenge due to the small data-sets and difficulty to obtain labels. We propose a reconstruction-based self-supervised learning model, the masked auto-encoder for EEG (MAEEG), for …

Seeing through hardware counters: a journey to threefold performance increase

by AI Generated Robotic ContentFAANG November 10, 2022Comments are Disabled

By Vadim Filanovsky and Harshad Sane In one of our previous blogposts, A Microscope on Microservices we outlined three broad domains of observability (or “levels of magnification,” as we referred to them) — Fleet-wide, Microservice and Instance. We described the tools and techniques we use to gain insight within each domain. There is, however, a class of problems …

Approaches to long-term planning with IBM Planning Analytics

by AI Generated Robotic ContentFAANG November 10, 2022Comments are Disabled

In our collective rush to react to ever-changing marketplace dynamics and shifts in the economy, it’s easy to focus on short-term plans, to the neglect of long-term planning. Today’s leaders need to have several plans – short-term, medium-term, and long-term. Different plans for different needs How do these plans differ? A short-term plan is designed …

Multi-layered Mapping of Brain Tissue via Segmentation Guided Contrastive Learning

by AI Generated Robotic ContentFAANG November 10, 2022Comments are Disabled

Posted by Peter H. Li, Research Scientist, and Sven Dorkenwald, Student Researcher, Connectomics at Google Mapping the wiring and firing activity of the human brain is fundamental to deciphering how we think — how we sense the world, learn, decide, remember, and create — as well as what issues can arise in brain disease or …

Brain tumor segmentation at scale using AWS Inferentia

by AI Generated Robotic ContentFAANG November 10, 2022Comments are Disabled

Medical imaging is an important tool for the diagnosis and localization of disease. Over the past decade, collections of medical images have grown rapidly, and open repositories such as The Cancer Imaging Archive and Imaging Data Commons have democratized access to this vast imaging data. Computational tools such as machine learning (ML) and artificial intelligence …

Serve multiple models with Amazon SageMaker and Triton Inference Server

by AI Generated Robotic ContentFAANG November 10, 2022Comments are Disabled

Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. It helps data scientists and developers prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML. In 2021, AWS announced the integration of NVIDIA Triton Inference Server in SageMaker. You …