Remove 2012 Remove AI Remove Deep Learning
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You can now download the source code that sparked the AI boom

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On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet , the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that "deep learning" could achieve things conventional AI techniques could not.

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Foundations of Computer Vision

Hacker News

Fortunately, the deep learning revolution in 2012 made the foundations of the field more solid, providing tools to build working implementations of many of the original ideas that were introduced in the field since it began. Pitman, 2012. [2] Murphy, Probabilistic machine learning: An introduction., and Isola, P.

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Jeff Dean, Google’s chief scientist, is quietly betting on the next wave of AI startups

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SEE FULL BIO Jeff Dean David Paul Morris/Bloomberg via Getty Images Good morning, AI reporter Sharon Goldman in for Allie Garfinkle, who is taking a well-deserved vacation! Amid the flood of pitches touting hot new AI startups, I keep seeing Jeff Dean. Yes, that Jeff Dean: Google’s chief scientist and longtime AI leader.

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Create a data labeling project with Amazon SageMaker Ground Truth Plus

AWS Machine Learning Blog

In addition to traditional custom-tailored deep learning models, SageMaker Ground Truth also supports generative AI use cases, enabling the generation of high-quality training data for artificial intelligence and machine learning (AI/ML) models.

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Adobe enhances developer productivity using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Building on these learnings, improving retrieval precision emerged as the next critical step. To address these challenges, Adobe partnered with the AWS Generative AI Innovation Center , using Amazon Bedrock Knowledge Bases and the Vector Engine for Amazon OpenSearch Serverless.

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Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart

AWS Machine Learning Blog

In the rapidly evolving landscape of AI, generative models have emerged as a transformative technology, empowering users to explore new frontiers of creativity and problem-solving. By fine-tuning a generative AI model like Meta Llama 3.2 Revolutionizing edge AI and vision with open, customizable models on the Meta AI website.

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Enable Amazon Bedrock cross-Region inference in multi-account environments

AWS Machine Learning Blog

This creates a challenging situation where organizations must balance security controls with using AI capabilities. As AI and machine learning capabilities continue to evolve, finding the right balance between security controls and innovation enablement will remain a key challenge for organizations.

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