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Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Google Cloud KMS Launches Post-Quantum KEM Support to Combat "Harvest Now, Decrypt Later" Threat
Google Cloud's Key Management Service now supports post-quantum Key Encapsulation Mechanisms (KEMs), addressing future threats from quantum computing. This update empowers organizations to prepare against "Harvest Now, Decrypt Later" attacks while ensuring long-term data confidentiality.
By Steef-Jan WiggersAnthropic Introduces Skills for Custom Claude Tasks
Anthropic has unveiled a new feature called Skills, designed to let developers extend Claude with modular, reusable task components.
By Daniel DominguezAWS Launches EC2 Capacity Manager for Centralized, Cross-Account Capacity Optimization
Introducing Amazon EC2 Capacity Manager: AWS's new centralized solution for streamlined monitoring and management of EC2 capacity across all accounts and regions. This innovative tool consolidates data into a unified dashboard, enhancing efficiency while reducing operational complexity.
By Steef-Jan WiggersCloudflare Introduces Email Service to Compete with Amazon SES, Resend, and SendGrid
During Cloudflare's recent Birthday Week, the company announced the private preview of its Cloudflare Email Service. This new globally managed service enables developers to send and receive emails directly from Workers using native bindings, without the need for API keys.
By Renato LosioPyTorch Monarch Simplifies Distributed AI Workflows with a Single-Controller Model
Meta’s PyTorch team has launched Monarch, a framework that simplifies distributed AI workflows across multiple GPUs and machines. It uses a single-controller model to manage computations across a cluster, making large-scale training and reinforcement learning tasks easier while allowing developers to keep their standard PyTorch coding practices.
By Robert Krzaczyński
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