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Busting crypto myths: NFTs are only for the wealthy – Kraken Blog

Since the crypto market took off in 2021, many non-fungible tokens (NFTs) are now changing hands for dizzying sums of money. To date, the...

Funds of Every Wallet Created With The Trust Wallet Browser Extension Could Have Been Stolen Without Any User Interaction | Ledger

Things to know:– Seed generation of Trust Wallet was flawed, the total entropy was only 32 bits. We have created a file containing all...

Unlock Insights from your Amazon S3 data with intelligent search | Amazon Web Services

Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your...

Big Eyes Coin Shines Bright as Uniswap and Leo Token Falter

Uniswap (UNI) and Leo Token (UNUS SED LEO) have emerged as the face of the troubles in the crypto market. UNI and Leo Token...

­­­­How Sleepme uses Amazon SageMaker for automated temperature control to maximize sleep quality in real time | Amazon Web Services

This is a guest post co-written with Trey Robinson, CTO at Sleepme Inc. Sleepme is an industry leader in sleep temperature management and monitoring...

Announcing provisioned concurrency for Amazon SageMaker Serverless Inference

Amazon SageMaker Serverless Inference allows you to serve model inference requests in real time without having to explicitly provision compute instances or configure scaling...

Host ML models on Amazon SageMaker using Triton: Python backend | Amazon Web Services

Amazon SageMaker provides a number of options for users who are looking for a solution to host their machine learning (ML) models. Of these...

EU Develops its Own Official Blockchain

EU Member States, Norway, Liechtenstein and the European Commission have launched a publicly accessible blockchain. The regulated and permissioned blockchain is managed by the...

Securing MLflow in AWS: Fine-grained access control with AWS native services

With Amazon SageMaker, you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects,...

Host ML models on Amazon SageMaker using Triton: TensorRT models

Sometimes it can be very beneficial to use tools such as compilers that can modify and compile your models for optimal inference performance. In...

Browser Isolation Adapts to Remote Work, Greater Cloud Usage

Browser isolation technologies are gaining popularity as a way to lock down companies' business processes, as workers — especially remote workers — spend more...

Build an image search engine with Amazon Kendra and Amazon Rekognition

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the...

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