Do humans think computers make fair decisions?

Today, machine learning helps determine the loan we qualify for, the job we get, and even who goes to jail. But when it comes to these potentially life-altering decisions, can computers make a fair call? In a study published September 29 in the journal Patterns, researchers from Germany showed that with human supervision, people think …

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Au-delà de l’anonymisation (Palantir Mode d’Emploi, No.3)

(An English-language version of this post can be read here.) Note de l’éditeur : Ceci est le troisième article légèrmement ajusté de Palantir Mode d’Emploi, une série qui explore une série de sujets, y compris notre approche de la confidentialité, de la sécurité, de la sécurité AI/ML, et plus encore. Les articles précédents ont exploré notre modèle …

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DALL·E Now Available Without Waitlist

New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible. Sign up Starting today, we are removing the waitlist for the DALL·E beta so users can sign up and start using it immediately. More than 1.5M users are now actively creating over 2M images …

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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of our media encoding platform, Cosmos. Over the past 2.5 years, its usage has increased, and Timestone is now also the priority queueing …

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Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex

The rise of artificial intelligence technologies enables organizations to adopt and improve self-service capabilities in contact center operations to create a more proactive, timely, and effective customer experience. Voice bots, or conversational interactive voice response systems (IVR), use natural language processing (NLP) to understand customers’ questions and provide relevant answers. Businesses can automate responses to …

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Set up enterprise-level cost allocation for ML environments and workloads using resource tagging in Amazon SageMaker

As businesses and IT leaders look to accelerate the adoption of machine learning (ML), there is a growing need to understand spend and cost allocation for your ML environment to meet enterprise requirements. Without proper cost management and governance, your ML spend may lead to surprises in your monthly AWS bill. Amazon SageMaker is a …