How 3 healthcare organizations are using generative AI
Favorite We’re introducing Google Cloud healthcare customers using Med-PaLM 2 and other generative AI solutions. View Original Source (blog.google/technology/ai/) Here.
University of San Francisco Data Science Conference 2023 Datathon in partnership with AWS and Amazon SageMaker Studio Lab
Favorite As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. Participants, both high school and undergraduate students, competed on a data science project that focused on air quality and sustainability. The Data
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Shared by AWS Machine Learning August 28, 2023
RO-ViT: Region-aware pre-training for open-vocabulary object detection with vision transformers
Favorite Posted by Dahun Kim and Weicheng Kuo, Research Scientists, Google The ability to detect objects in the visual world is crucial for computer vision and machine intelligence, enabling applications like adaptive autonomous agents and versatile shopping systems. However, modern object detectors are limited by the manual annotations of their
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Shared by Google AI Technology August 28, 2023
Announcing the Preview of Amazon SageMaker Profiler: Track and visualize detailed hardware performance data for your model training workloads
Favorite Today, we’re pleased to announce the preview of Amazon SageMaker Profiler, a capability of Amazon SageMaker that provides a detailed view into the AWS compute resources provisioned during training deep learning models on SageMaker. With SageMaker Profiler, you can track all activities on CPUs and GPUs, such as CPU
Read More Shared by AWS Machine Learning August 25, 2023
Responsible AI at Google Research: Perception Fairness
Favorite Posted by Susanna Ricco and Utsav Prabhu, co-leads, Perception Fairness Team, Google Research Google’s Responsible AI research is built on a foundation of collaboration — between teams with diverse backgrounds and expertise, between researchers and product developers, and ultimately with the community at large. The Perception Fairness team drives
Read More Shared by Google AI Technology August 25, 2023
How to compare a noisy quantum processor to a classical computer
Favorite Posted by Sergio Boixo and Vadim Smelyanskiy, Principal Scientists, Google Quantum AI Team A full-scale error-corrected quantum computer will be able to solve some problems that are impossible for classical computers, but building such a device is a huge endeavor. We are proud of the milestones that we have
Read More Shared by Google AI Technology August 24, 2023
Teaching language models to reason algorithmically
Favorite Posted by Hattie Zhou, Graduate Student at MILA, Hanie Sedghi, Research Scientist, Google Large language models (LLMs), such as GPT-3 and PaLM, have shown impressive progress in recent years, which have been driven by scaling up models and training data sizes. Nonetheless, a long standing debate has been whether
Read More Shared by Google AI Technology August 24, 2023
Announcing Amazon S3 access point support for Amazon SageMaker Data Wrangler
Favorite We’re excited to announce Amazon SageMaker Data Wrangler support for Amazon S3 Access Points. With its visual point and click interface, SageMaker Data Wrangler simplifies the process of data preparation and feature engineering including data selection, cleansing, exploration, and visualization, while S3 Access Points simplifies data access by providing
Read More Shared by AWS Machine Learning August 23, 2023
Persistent Systems shapes the future of software engineering with Amazon CodeWhisperer
Favorite Amazon CodeWhisperer, the AWS AI coding companion, is a step change in developer productivity tools. Based on generative AI technology, Amazon CodeWhisperer offers contextualized code snippets or recommendations based on natural language prompts to build software quickly, responsibly, and securely. It enables productivity gains and increases accuracy for accelerated
Read More Shared by AWS Machine Learning August 23, 2023
Language to rewards for robotic skill synthesis
Favorite Posted by Wenhao Yu and Fei Xia, Research Scientists, Google Empowering end-users to interactively teach robots to perform novel tasks is a crucial capability for their successful integration into real-world applications. For example, a user may want to teach a robot dog to perform a new trick, or teach
Read More Shared by Google AI Technology August 22, 2023