Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

Enable fully homomorphic encryption with Amazon SageMaker Amazon SageMaker: This is joint post co-written by Leidos and AWS. Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. Leidos has partnered with AWS to develop an approach to privacy-preserving, confidential machine learning (ML) modeling where you build cloud-enabled, encrypted pipelines. Homomorphic encryption is a new approach…

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UC Berkeley Researchers Propose LERF: An AI Method For Grounding Language Embeddings From Off-The-Shelf Models Like CLIP Into NeRF

UC Berkeley Researchers Propose LERF: An AI Method For Grounding Language Embeddings From Off-The-Shelf Models Like CLIP Into NeRF

UC Berkeley Researchers Propose LERF In our daily lives, Berkeley we frequently have to use natural language to explain our 3D surroundings. For this purpose, we make use of various properties of objects present in the physical world. They can include things like their semantics, associated entities, and overall appearance. On the other hand, when it comes to a digital setting, Neural Radiance Fields, commonly known as NeRFs, are a kind of neural network that…

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State-of-the-art speech AI for 100+ languages – Google AI Blog

State-of-the-art speech AI for 100+ languages – Google AI Blog

State-of-the-art speech AI for 100+ languages – Google AI Blog Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Google AI Blog: Last November, we announced the 1,000 Languages Initiative, an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe. However, some of these languages are spoken by fewer than twenty million…

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Training large language models on Amazon SageMaker: Best practices

Training large language models on Amazon SageMaker: Best practices

Training large language models on Amazon SageMaker In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. SageMaker Training is a managed batch ML compute service that reduces the time and cost to train and tune models at scale without the need to manage infrastructure. Within one launch command, Amazon SageMaker launches a fully functional, ephemeral compute cluster running the task of your choice, and with enhanced…

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Researchers From Oxford Open-Source WhisperX: A Time-Accurate Speech Recognition System With Word-Level Timestamps

Researchers From Oxford Open-Source WhisperX: A Time-Accurate Speech Recognition System With Word-Level Timestamps

Weakly supervised and unsupervised training approaches have shown outstanding performance on various audio processing tasks, including voice recognition, speaker recognition, speech separation, and keyword spotting, thanks to the availability of large-scale online datasets. Researchers at Oxford developed a speech recognition system called Whisper that makes use of this extensive database on a larger scale. Utilizing 125,000 hours of English translation data and 680,000 hours of noisy speech training data in 96 additional languages, they demonstrate…

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Plotting Network Graphs using Python | by Wei-Meng Lee | Mar, 2023

Plotting Network Graphs using Python | by Wei-Meng Lee | Mar, 2023

Learn how to use the NetworkX package to visualize complex networks Photo by Alina Grubnyak on Unsplash A network graph is a form of visualization that enables you to visualize and analyze the relationships between entities. For example, the following figure shows the contribution of Wikipedia editors to the various Wikipedia language versions during one month in the summer of 2013. Source: https://en.wikipedia.org/wiki/Graph_theory#/media/File:Wikipedia_multilingual_network_graph_July_2013.svg From the network graph, you can gather a few observations: English (en)…

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Navigation via real-time, on-robot transformers – Google AI Blog

Navigation via real-time, on-robot transformers – Google AI Blog

Posted by Krzysztof Choromanski, Staff Research Scientist, Robotics at Google, and Xuesu Xiao, Visiting Researcher, George Mason University Despite decades of research, we don’t see many mobile robots roaming our homes, offices, and streets. Real-world robot navigation in human-centric environments remains an unsolved problem. These challenging situations require safe and efficient navigation through tight spaces, such as squeezing between coffee tables and couches, maneuvering in tight corners, doorways, untidy rooms, and more. An equally critical…

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Index your Microsoft Exchange content using the Exchange connector for Amazon Kendra

Index your Microsoft Exchange content using the Exchange connector for Amazon Kendra

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. An enterprise search solution should be able to pull together data across several structured and unstructured repositories to index and search on. One such unstructured…

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