Favorite Posted by Oren Gilon, Software Engineer, and Grey Nearing, Research Scientist, Google Research Floods are the most common type of natural disaster, affecting more than 250 million people globally each year. As part of Google’s Crisis Response and our efforts to address the climate crisis, we are using machine
Read More
Shared by Google AI Technology April 7, 2023
Favorite This is a joint post by NXP SEMICONDUCTORS N.V. & AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. In this post, we demonstrate how NXP, an
Read More
Shared by AWS Machine Learning April 6, 2023
Favorite Data is at the heart of machine learning (ML). Including relevant data to comprehensively represent your business problem ensures that you effectively capture trends and relationships so that you can derive the insights needed to drive business decisions. With Amazon SageMaker Canvas, you can now import data from over
Read More
Shared by AWS Machine Learning April 6, 2023
Favorite Posted by Greg Blascovich and Eric Gomez, User Researchers, Google As companies settle into a new normal of hybrid and distributed work, remote communication technology remains critical for connecting and collaborating with colleagues. While this technology has improved, the core user experience often falls short: conversation can feel stilted,
Read More
Shared by Google AI Technology April 6, 2023
Favorite Posted by Zi Wang and Kevin Swersky, Research Scientists, Google Research, Brain Team Bayesian optimization (BayesOpt) is a powerful tool widely used for global optimization tasks, such as hyperparameter tuning, protein engineering, synthetic chemistry, robot learning, and even baking cookies. BayesOpt is a great strategy for these problems because
Read More
Shared by Google AI Technology April 6, 2023
Favorite Container adoption is soaring, thanks to Open Source. The majority of projects and tools for container management in the cloud-native ecosystem are Open Source; one example is SlimToolkit, a tool supported by Slim.AI. SlimToolkit addresses one of the most critical issues in the cloud-native ecosystem today: container security. Today,
Read More
Shared by voicesofopensource April 6, 2023
Favorite The size and complexity of large language models (LLMs) have exploded in the last few years. LLMs have demonstrated remarkable capabilities in learning the semantics of natural language and producing human-like responses. Many recent LLMs are fine-tuned with a powerful technique called instruction tuning, which helps the model perform
Read More
Shared by AWS Machine Learning April 5, 2023
Favorite In his book The Book of Why, Judea Pearl advocates for teaching cause and effect principles to machines in order to enhance their intelligence. The accomplishments of deep learning are essentially just a type of curve fitting, whereas causality could be used to uncover interactions between the systems of
Read More
Shared by AWS Machine Learning April 5, 2023
Favorite Time series are sequences of data points that occur in successive order over some period of time. We often analyze these data points to make better business decisions or gain competitive advantages. An example is Shimamura Music, who used Amazon Forecast to improve shortage rates and increase business efficiency.
Read More
Shared by AWS Machine Learning April 5, 2023
Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon
Read More
Shared by AWS Machine Learning April 5, 2023