Polygon (MATIC) rally comes to an end as competitors devour market share
TutoSartup excerpt from this article:
Polygon’s native token (MATIC) experienced a 16...4% rally that coincided with the launch of Polygon 2... This decline was exacerbated by negative news regarding the departure of a key co-founder and weak activity in Polygon’s zero-knowledge rollup (ZK-rollup) subnet...Polygon (MATIC) 12-hour price in USD... Rallies tend to follow mainnet and protocol updatesPolygon 2... P...
Polygon’s native token (MATIC) experienced a 16...4% rally that coincided with the launch of Polygon 2... This decline was exacerbated by negative news regarding the departure of a key co-founder and weak activity in Polygon’s zero-knowledge rollup (ZK-rollup) subnet...Polygon (MATIC) 12-hour price in USD... Rallies tend to follow mainnet and protocol updatesPolygon 2... P...
Use SAML with Amazon Cognito to support a multi-tenant application with a single user pool
TutoSartup excerpt from this article:
To configure your IdP Provide the IdP with the values for the following two properties: Single sign on URL / Assertion Consumer Service URL / ACS URL (for this example, https://<CognitoDomainURL>/saml2/idpresponse) Audience URI / SP Entity ID / Entity ID: (For this example, urn:amazon:cognito:sp:<yourUserPoolID>) Configure the field mapping for the SAML respons...
To configure your IdP Provide the IdP with the values for the following two properties: Single sign on URL / Assertion Consumer Service URL / ACS URL (for this example, https://<CognitoDomainURL>/saml2/idpresponse) Audience URI / SP Entity ID / Entity ID: (For this example, urn:amazon:cognito:sp:<yourUserPoolID>) Configure the field mapping for the SAML respons...
New – No-code generative AI capabilities now available in Amazon SageMaker Canvas
TutoSartup excerpt from this article:
Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code... Ready-to-use models enable you to derive immediate insights from text, image, and document data (such as sentiment a...
Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code... Ready-to-use models enable you to derive immediate insights from text, image, and document data (such as sentiment a...
Whisper models for automatic speech recognition now available in Amazon SageMaker JumpStart
TutoSartup excerpt from this article:
Today, we’re excited to announce that the OpenAI Whisper foundation model is available for customers using Amazon SageMaker JumpStart... Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation... Trained on 680 thousand hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tun...
Today, we’re excited to announce that the OpenAI Whisper foundation model is available for customers using Amazon SageMaker JumpStart... Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation... Trained on 680 thousand hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tun...
Reinventing a cloud-native federated learning architecture on AWS
TutoSartup excerpt from this article:
Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance... Customers often need to train a model with data from different regions, organizations, or AWS accounts... Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets... The goal of FL is to improve the accuracy of ML models by using more data, ...
Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance... Customers often need to train a model with data from different regions, organizations, or AWS accounts... Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets... The goal of FL is to improve the accuracy of ML models by using more data, ...
Caroline Ellison blames Sam Bankman-Fried for misuse of FTX user funds at trial
TutoSartup excerpt from this article:
Reports have suggested the former CEO of Alameda Research and SBF had largely been out of contact following the collapse of FTX in November 2022... 10, Ellison admitted to fraud during her time at Alameda under Bankman-Fried’s direction... The former Alameda CEO reportedly placed the blame for misuse of FTX user funds directly on SBF, claiming he “set ...
Reports have suggested the former CEO of Alameda Research and SBF had largely been out of contact following the collapse of FTX in November 2022... 10, Ellison admitted to fraud during her time at Alameda under Bankman-Fried’s direction... The former Alameda CEO reportedly placed the blame for misuse of FTX user funds directly on SBF, claiming he “set ...
Microsoft empowers health organizations with generative AI and actionable data insights
TutoSartup excerpt from this article:
For the healthcare industry, this might mean the beginning of a transformative era that changes how healthcare is delivered and accessed—making precision medicine truly individualized, speeding up groundbreaking research for life threatening diseases, and finding new and innovative ways to improve patient care... Healthcare data has been growing at an exponential rate and most healthcare organi...
For the healthcare industry, this might mean the beginning of a transformative era that changes how healthcare is delivered and accessed—making precision medicine truly individualized, speeding up groundbreaking research for life threatening diseases, and finding new and innovative ways to improve patient care... Healthcare data has been growing at an exponential rate and most healthcare organi...