ML 14828 image001

Define customized permissions in minutes with Amazon SageMaker Role Manager via the AWS CDK

Machine learning (ML) administrators play a critical role in maintaining the security and integrity of ML workloads. Their primary focus is to ensure that users operate with the utmost security, adhering to the principle of least privilege. However, accommodating the diverse needs of different user personas and creating appropriate permission policies can sometimes impede agility. …

01 product examples.1000067220000459.max 1000x1000 1

Building AI-powered apps on Google Cloud databases using pgvector, LLMs and LangChain

Cloud SQL for PostgreSQL and AlloyDB for PostgreSQL now support the pgvector extension, bringing the power of vector search operations to PostgreSQL databases. You can read the full announcement here.  In this step-by-step tutorial, we will show you how to add generative AI features to your own applications with just a few lines of code …

How to improve your finance operation’s efficiency with generative AI

While you may have learned about generative artificial intelligence (AI), you may not know what it means for the future of Finance and Accounting (F&A). As the name suggests, it generates images, music, speech, code, video or text, while it interprets and manipulates preexisting data. For F&A leaders, this means that it may have the …

Halp2520hero2520gif

Preference learning with automated feedback for cache eviction

Posted by Ramki Gummadi, Software Engineer, Google and Kevin Chen, Software Engineer, YouTube Caching is a ubiquitous idea in computer science that significantly improves the performance of storage and retrieval systems by storing a subset of popular items closer to the client based on request patterns. An important algorithmic piece of cache management is the …

sf dw 1

Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code. SageMaker Data Wrangler supports Snowflake, a popular …

Deep Learning Digs Deep: AI Unveils New Large-Scale Images in Peruvian Desert

Researchers at Yamagata University in Japan have harnessed AI to uncover four previously unseen geoglyphs — images on the ground, some as wide as 1,200 feet, made using the land’s elements — in Nazca, a seven-hour drive south of Lima, Peru. The geoglyphs — a humanoid, a pair of legs, a fish and a bird …

How data, automation and AI are transforming Business Process Outsourcing into a competitive advantage

When IBM Consulting’s Neeraj Manik spoke recently with a large pharmaceutical client about how to streamline and improve its front-office and back-office financial processes, he pointed to a web of interconnected business challenges the organization was facing: “too many invoices, too many suppliers, too much money being paid to suppliers,” as Manik put it. Manik, …

SoundStorm

SoundStorm: Efficient parallel audio generation

Posted by Zalán Borsos, Research Software Engineer, and Marco Tagliasacchi, Senior Staff Research Scientist, Google Research The recent progress in generative AI unlocked the possibility of creating new content in several different domains, including text, vision and audio. These models often rely on the fact that raw data is first converted to a compressed format …

lnw figure1

How Light & Wonder built a predictive maintenance solution for gaming machines on AWS

This post is co-written with Aruna Abeyakoon and Denisse Colin from Light and Wonder (L&W). Headquartered in Las Vegas, Light & Wonder, Inc. is the leading cross-platform global game company that provides gambling products and services. Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to …

Scientists Improve Delirium Detection Using AI and Rapid-Response EEGs

Detecting delirium isn’t easy, but it can have a big payoff: speeding essential care to patients, leading to quicker and surer recovery. Improved detection also reduces the need for long-term skilled care, enhancing the quality of life for patients while decreasing a major financial burden. In the U.S., caring for those suffering from delirium costs …