All data cloud, all the time: Recapping the Google Data Cloud & AI Summit

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The Data Cloud & AI Summit is Google Cloud’s global event that showcases latest innovations and how customers are transforming their business with a unified, open and intelligent data platform. At our third annual event, we shared the latest product launches across generative AI and Data Cloud, learnings from customers and partners, and provided best …

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RaisedButton Deprecation and Migration Guide With An Example

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Note: This article is written based on the Flutter SDK version 2.10.0. Flutter’s RaisedButton widget has been deprecated since the release of Flutter 2. Material Design guidelines recommend that if you hire Flutter developers, they will use the ElevatedButton widget instead of the deprecated RaisedButton. This article will provide migration instructions for experts who need to …

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Collaborative Machine Learning Model Building with Families Using Co-ML

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Existing novice-friendly machine learning (ML) modeling tools center around a solo user experience, where a single user collects only their own data to build a model. However, solo modeling experiences limit valuable opportunities for encountering alternative ideas and approaches that can arise when learners work together; consequently, it often precludes encountering critical issues in ML …

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IndoorSim-to-OutdoorReal: Learning to navigate outdoors without any outdoor experience

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Posted by Joanne Truong, Student Researcher, and Wenhao Yu, Research Scientist, Robotics at Google Teaching mobile robots to navigate in complex outdoor environments is critical to real-world applications, such as delivery or search and rescue. However, this is also a challenging problem as the robot needs to perceive its surroundings, and then explore to identify …

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Quickly build high-accuracy Generative AI applications on enterprise data using Amazon Kendra, LangChain, and large language models

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Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding. Some of the benefits offered by LLMs include the ability to create more capable and …

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Don’t pause AI development, prioritize ethics instead

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The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. Thanks to systems like ChatGPT, just about anyone can now use advanced AI models that are not only capable of detecting patterns, honing data, and making …

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Hosting ML Models on Amazon SageMaker using Triton: XGBoost, LightGBM, and Treelite Models

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One of the most popular models available today is XGBoost. With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. In this post, we dive deep to see how Amazon SageMaker can serve these models using NVIDIA Triton …

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Running ML models now easier with new Dataflow ML innovations on Apache Beam

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According to Harvard Business Review, only 20% of companies see their models go into production for AI. Google Cloud Dataflow builds on one of the most popular open source frameworks, Apache Beam, which is a unified programming model and SDK for developing batch and streaming pipelines. Continuing our commitment to building an open product, working …

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Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier

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NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical. Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., …

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AI in the modeling industry

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TL;DR Everything in modeling will change. These images were generated by Midjourney. How will AI disrupt the modeling industry? AI has the potential to significantly disrupt the modeling industry in various ways, from automating processes to changing the way models are discovered and represented. Here are some potential impacts: AI-generated models: AI can create realistic …

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