Google Research, 2022 & beyond: ML & computer systems

Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research Scientist, Google Research (This is Part 3 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Great machine learning (ML) research requires great systems.

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Shared by Google AI Technology February 2, 2023

Open Source Vizier: Towards reliable and flexible hyperparameter and blackbox optimization

Posted by Xingyou (Richard) Song, Research Scientist, and Chansoo Lee, Software Engineer, Google Research, Brain Team Google Vizier is the de-facto system for blackbox optimization over objective functions and hyperparameters across Google, having serviced some of Google’s largest research efforts and optimized a wide range of products (e.g., Search, Ads,

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Shared by Google AI Technology February 2, 2023

Build a water consumption forecasting solution for a water utility agency using Amazon Forecast

Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts, without requiring any prior ML experience. Forecast is applicable in a wide variety of use cases, including estimating supply and demand for inventory management, travel demand forecasting, workforce planning, and computing cloud infrastructure

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Shared by AWS Machine Learning January 31, 2023

The ultimate list of reactions to the Cyber Resilience Act

The European Commission’s proposed Cyber Resilience Act (CRA) as drafted may harm Open Source, and perhaps all other non-industrial software. There were 131 responses to the proposed text that the Commission has sent to the Parliament, including one from the Open Source Initiative. Of those, 18 responses – representing a

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Shared by voicesofopensource January 30, 2023