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Demand for Ethereum Domain Names Surges

ETH Addresses and a Gold Bored Ape Bright Spots in a Rough Stretch for NFTs Demand for .eth addresses shows no sign of slowing down.On...

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How Cepsa used Amazon SageMaker and AWS Step Functions to industrialize their ML projects and operate their models at scale

This blog post is co-authored by Guillermo Ribeiro, Sr. Data Scientist at Cepsa. Machine learning (ML) has...

Build an appointment scheduler interface integrated with Meta using Amazon Lex and Amazon Connect

This blog post is co-written with Nick Vargas and Anna Schreiber from Accenture. Scheduling customer appointments is...

How to scale machine learning inference for multi-tenant SaaS use cases

This post is co-written with Sowmya Manusani, Sr. Staff Machine Learning Engineer at Zendesk Zendesk is a...

Customize pronunciations using Amazon Polly

Amazon Polly breathes life into text by converting it into lifelike speech. This empowers developers and businesses to create applications that can converse in...

How eMagazines utilizes Amazon Polly to voice articles for school-aged kids

This is a guest post by Andrew Degenholtz, CEO and Founder of eMagazines, the parent company of ReadAlong.ai. eMagazines’ technology seamlessly transforms print products...

How InfoJobs (Adevinta) improves NLP model prediction performance with AWS Inferentia and Amazon SageMaker

This is a guest post co-written by Juan Francisco Fernandez, ML Engineer in Adevinta Spain, and AWS AI/ML Specialist Solutions Architects Antonio Rodriguez and...
Tag Template - News Hub PRO CoinGenius Hosts Virtual Crypto Event The Road To Mass Adoption

Optimize F1 aerodynamic geometries via Design of Experiments and machine learning

FORMULA 1 (F1) cars are the fastest regulated road-course racing vehicles in the world. Although these open-wheel automobiles are only 20–30 kilometers (or 12–18...

The Intel®3D Athlete Tracking (3DAT) scalable architecture deploys pose estimation models using Amazon Kinesis Data Streams and Amazon EKS

This blog post is co-written by Jonathan Lee, Nelson Leung, Paul Min, and Troy Squillaci from Intel.  ...

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