Tag: ai/ml

Posted by Greg Blascovich and Eric Gomez, User Researchers, Google As companies settle into a new normal of hybrid and distributed work, remote communication technology remains critical for connecting and collaborating with colleagues. While this technology has improved, the core user experience often falls short: conversation can feel stilted, attention can be difficult to maintain, …

Read more “How Project Starline improves remote communication”

Data is at the heart of machine learning (ML). Including relevant data to comprehensively represent your business problem ensures that you effectively capture trends and relationships so that you can derive the insights needed to drive business decisions. With Amazon SageMaker Canvas, you can now import data from over 40 data sources to be used …

Read more “Import data from over 40 data sources for no-code machine learning with Amazon SageMaker Canvas”

How Foundry for Builders Sparks Innovation in Healthcare Palantir Foundry’s operational AI capabilties make it well-suited to a variety of industries and sectors. We’ve been particularly gratified by its power to transform the healthcare space, which is ripe for disruption due to legacy technology, high care costs, complex patient privacy laws, and difficult-to-navigate care options. Foundry’s …

Read more “Four Ways Healthcare Startups Use Palantir Foundry”

The rise of text and semantic search engines has made ecommerce and retail businesses search easier for its consumers. Search engines powered by unified text and image can provide extra flexibility in search solutions. You can use both text and images as queries. For example, you have a folder of hundreds of family pictures in …

Read more “Implement unified text and image search with a CLIP model using Amazon SageMaker and Amazon OpenSearch Service”

Editor’s note: Today, two legendary Google engineers describe the “secret sauce” that has made TPU v4 a platform of choice for the world’s leading AI researchers and developers for training machine learning models at scale. Norm Jouppi is the chief architect for all Google’s TPUs, from TPU v1 to TPU v4. He is a Google …

Read more “Google’s Cloud TPU v4 provides exaFLOPS-scale ML with industry-leading efficiency”

MLPerf remains the definitive measurement for AI performance as an independent, third-party benchmark. NVIDIA’s AI platform has consistently shown leadership across both training and inference since the inception of MLPerf, including the MLPerf Inference 3.0 benchmarks released today. “Three years ago when we introduced A100, the AI world was dominated by computer vision. Generative AI …

Read more “NVIDIA Takes Inference to New Heights Across MLPerf Tests”

TL;DR The Future of Life Institute calls for a 6-month AI moratorium. Image Credit “Pause Giant AI Experiments: An Open Letter … We call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4.” — Future of Life Institute The Future of Life Institute …

Read more “AI progress is scaring people”

Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon Kendra FAQs allow users to upload …

Read more “Automate and implement version control for Amazon Kendra FAQs”