Category: FAANG

Today, manufacturers are advancing on their factory digitalization journey, betting on innovative technologies to strengthen competitiveness, deliver sustainable growth, and offer new services. Macroeconomic factors – such as high energy costs, increasing labor, and raw material shortages – drive the need for urgent operational optimizations and automation.  Cloud capabilities have matured at an accelerated pace, …

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A finalist for the Gordon Bell special prize for high performance computing-based COVID-19 research has taught large language models (LLMs) a new lingo — gene sequences — that can unlock insights in genomics, epidemiology and protein engineering. Published in October, the groundbreaking work is a collaboration by more than two dozen academic and commercial researchers …

Read more “Speaking the Language of the Genome: Gordon Bell Finalist Applies Large Language Models to Predict New COVID Variants”

By Vi Iyengar, Keila Fong, Hossein Taghavi, Andy Yao, Kelli Griggs, Boris Chen, Cristina Segalin, Apurva Kansara, Grace Tang, Billur Engin, Amir Ziai, James Ray, Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media — from TV shows to …

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To make machine learning (ML) more accessible, Amazon launched Amazon SageMaker Studio Lab at AWS re:Invent 2021. Today, tens of thousands of customers use it every day to learn and experiment with ML for free. We made it simple to get started with just an email address, without the need for installs, setups, credit cards, …

Read more “Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality”

Contact centers today handle all types of sensitive information including Personally Identifiable Information (PII), Protected Health Information (PHI), Payment Card Industry (PCI) data, and other confidential information (CI) as part of their day-to-day operations. This information can make its way into call recordings, call logs, agent notes, and application logs. It may also be used …

Read more “Redacting PII data in Dialogflow CX with Google Cloud Data Loss Prevention (DLP)”

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. …

Read more “Characterizing Emergent Phenomena in Large Language Models”

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 …

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

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 …

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