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Meet the winners of the Research Rovers: AI Research Assistants for NASA Challenge

DrivenData Labs

We are very interested in how AI-based research assistants can help NASA, and we received a diverse variety of cutting-edge AI approaches from around the globe in the Research Rovers challenge. There may be hundreds of research papers that need to be read, or at least skimmed. They'll continue to do so.

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Google Research, 2022 & beyond: Research community engagement

Google Research AI blog

Posted by Posted by Leslie Yeh, Director, University Relations (This is Part 9 in our series of posts covering different topical areas of research at Google. Sharing knowledge is essential to Google’s research philosophy — it accelerates technological progress and expands capabilities community-wide.

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Artificial Intelligence trends in 2023

How to Learn Machine Learning

Artificial intelligence (AI) is a term that encompasses the use of computer technology to solve complex problems and mimic human decision-making. It is used in many areas including robotics, healthcare, finance, marketing and even autonomous vehicles. billion by 2027, growing at a CAGR of 36.2%.

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A journey from hieroglyphs to chatbots: Understanding NLP over Google’s USM updates

Dataconomy

In recent years, natural language processing and conversational AI have gained significant attention as technologies that are transforming the way we interact with machines and each other. It is a significant initial step towards the objective of supporting 1,000 languages.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. We use an ml.t3.medium The following diagram illustrates the architecture of this solution.

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Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

AWS Machine Learning Blog

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. You can also access the foundation models thru Amazon SageMaker Studio.

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Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

ML Review

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading! An experience that weighs learning heavily.