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“In my opinion, AutoGPT / babyAGI / AgentGPT is the real disruption point for the use of AI for complex problem-solving. Keep an eye out for these terms popping up in the news in the coming months.” That’s what Lars said, and rightfully so! Autonomous AI agents will introduce a new world of research and finding …
In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. With the internet, searching and obtaining an image has never been easier. Most …
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*=Equal Contributors There exists a correlation between geospatial activity temporal patterns and type of land use. A novel self-supervised approach is proposed to survey landscape based on activity time series, where time series signal is transformed to frequency domain and compressed into embeddings by a contractive autoencoder, which preserve cyclic temporal patterns observed in time …
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Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala, Javier Fernandez-Ivern, Anup Rokkam Pratap, Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being …
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Three of my four grandparents were teachers. Their love of learning and passion for lighting a spark in their students impressed upon me the power that teachers have to change lives and shape the future. As I’m writing this, I am in Jacksonville, Florida, just a few miles from where my grandmother, Rosalie Gordon-Mills, was …
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Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research Vision-language foundational models are built on the premise of a single pre-training followed by subsequent adaptation to multiple downstream tasks. Two main and disjoint training scenarios are popular: a CLIP-style contrastive learning and next-token prediction. Contrastive learning trains the model to predict if image-text …
Read more “MaMMUT: A simple vision-encoder text-decoder architecture for multimodal tasks”
The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. Compared to classical ML models, generative AI models are significantly bigger and more complex. However, their increasing complexity also comes with high costs …
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 …
Read more “All data cloud, all the time: Recapping the Google Data Cloud & AI Summit”
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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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 …
Read more “Collaborative Machine Learning Model Building with Families Using Co-ML”