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Tag: Entropy

Making the Case for Cryptographic Agility and Orchestration

The quantum threat to cybersecurity is easy enough to state. A quantum computer of sufficient size can efficiently factor integers and compute discrete logarithms...

Redefining Conversational AI with Large Language Models

Source: rawpixel.comConversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and...

My Love/Hate Relationship with Process – LifeSciVC

By Aoife Brennan, CEO of Synlogic, as part of the From The Trenches feature of LifeSciVC I remember vividly my first vacation with the man...

From parts to hypersonics, Pentagon sees 3D printing as ‘game changer’

CORRECTION: This story has been updated to remove statements erroneously attributed to DeVries.WASHINGTON — The growth of additive manufacturing is a “game changer” for...

Part 6: Genesis of Ledger Recover – Threat Analysis / Evaluation | Ledger

Welcome back to the sixth part of our blog series on Ledger Recover’s genesis!  In the previous parts, we explained how the entropy of...

How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline | Amazon Web Services

In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab, build an active learning framework on AWS...

Physicists Observe ‘Unobservable’ Quantum Phase Transition | Quanta Magazine

IntroductionIn 1935, Albert Einstein and Erwin Schrödinger, two of the most prominent physicists of the day, got into a dispute over the nature of...

Part 4: Genesis of Ledger Recover – Controlling Access to the Backup: Identity Verification | Ledger

Welcome back to the fourth part of our blog series on Ledger Recover genesis. Our goal is to explore the many technical hurdles encountered...

Advanced Guide for Natural Language Processing

Introduction Welcome to the transformative world of Natural Language Processing (NLP). Here, the elegance of human language meets the precision of machine intelligence. The unseen...

Pinpointing your ML algorithm is not as difficult as you think

Performance metrics in machine learning are the most accurate way to measure how close your algorithm is to what you want. So what are...

Train self-supervised vision transformers on overhead imagery with Amazon SageMaker | Amazon Web Services

This is a guest blog post co-written with Ben Veasey, Jeremy Anderson, Jordan Knight, and June Li from Travelers. Satellite and aerial images provide...

The art and science of data product portfolio management | Amazon Web Services

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data...

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