The Fed could lose $100B — Does this spell catastrophe for Bitcoin?

TutoSartup excerpt from this article:
On the latest episode of “Macro Markets,” Marcel Pechman explains the potential implications for crypto of the Federal Reserve losing $100 billion... On this week's episode of “Macro Markets,” Cointelegraph analyst Marcel Pechman delves into a thought-provoking discussion on the United States Federal Reserve’s financial woes....

Bitcoin energy value metric puts BTC’s ‘fair value’ at $47K — Analyst

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Charles Edwards of Capriole Investments says that despite the current headwinds, Bitcoin’s fair value sits at $45,000... Bitcoin’s price is trading in a frustratingly tight range between $25,500 and $26,500, leaving traders unsure of the next direction that the asset could take...However, Charles Edwards, founder of Capriole Invest...

10 years later, still no Bitcoin ETF — but who cares?

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The Securities and Exchange Commission will inevitably approve a spot Bitcoin ETF, but we should retain some healthy skepticism about the risks it will create... The first spot Bitcoin exchange-traded fund (ETF) application, filed in July 2013, was denied in both 2017 and 2018...The ETF saga’s latest iteration saw Bitcoin (BTC) jump m...

Implement smart document search index with Amazon Textract and Amazon OpenSearch

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What if there was a way to process documents intelligently and make them searchable in with high accuracy? This is made possible with Amazon Textract, AWS’s Intelligent Document Processing service, coupled with the fast search capabilities of OpenSearch... With the proposed solution, your documents are automatically ingested, their content parsed and subsequently indexed into a highly respons...

Semantic image search for articles using Amazon Rekognition, Amazon SageMaker foundation models, and Amazon OpenSearch Service

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Publishers can have repositories containing millions of images and in order to save money, they need to be able to reuse these images across articles... Finding the image that best matches an article in repositories of this scale can be a time-consuming, repetitive, manual task that can be automated... It also relies on the images in the repository being tagged correctly, which can also be autom...

Improving asset health and grid resilience using machine learning

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Goals and use case The goal of this engagement between Duke Energy and the Machine Learning Solutions Lab is to leverage machine learning to inspect hundreds of thousands of high-resolution aerial images to automate the identification and review process of all wood pole-related issues across 33,000 miles of transmission lines... Challenges One of the key challenges associated with training a ...

New – Amazon EC2 R7iz Instances Memory-Optimized for High CPU Performance, Memory-Intensive Workloads

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Today we’re announcing general availability of the Amazon EC2 R7iz instances... R7iz instances are the fastest 4th Generation Intel Xeon Scalable-based (Sapphire Rapids) instances in the cloud with 3... R7iz instances are suitable for workloads where there’s a requirement for more memory to process additional data, larger sizes of instances to scale up, higher compute and memory performance to...