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TensorFlow


Have you ever wondered what, fundamentally, scientifically, makes a piece of cake different from a slice of bread or a cookie? Me neither. But now this important, controversial question finally has an answer, thanks to explainable machine learning. (Sort of.) In machine learning, explainability is the study of how we can make models more interpretable, …

At AWS re:Invent 2020, AWS CEO Andy Jassy announced EC2 instances that will leverage up to eight Habana® Gaudi® accelerators and deliver up to 40% better price performance than current graphics processing unit-based EC2 instances for machine learning workloads1. Gaudi accelerators are specifically designed for training deep learning models for workloads that include natural language processing, object …

We launched BigQuery ML, an integrated part of Google Cloud’s BigQuery data warehouse, in 2018 as a SQL interface for training and using linear models. Many customers with a large amount of data in BigQuery started using BigQuery ML to remove the need for data ETL, since it brought ML directly to their stored data. Due …

Building end-to-end pipelines is becoming more important as many businesses realize that having a machine learning model is only one small step towards getting their ML-driven application into production. Google Cloud offers a tool for training and deploying models at scale, Cloud AI Platform, which integrates with multiple orchestration tools like TensorFlow Extended and KubeFlow Pipelines (KFP). However, it is …

AI and machine learning (ML) tools and solutions are fundamentally changing how businesses are run. Soon, organizations that are not using AI will be at a disadvantage from those that do and applications that are not AI-powered may feel broken. This week at Google Cloud Next ’20: OnAir we explored how Cloud AI is empowering teams with AI …

AI-driven organizations are using data and machine learning to solve their hardest problems and are reaping the rewards. “Companies that fully absorb AI in their value-producing workflows by 2025 will dominate the 2030 world economy with +120% cash flow growth,”1 according to McKinsey Global Institute. But it’s not easy right now. Machine learning (ML) systems have …

Building AI-powered apps can be painful. I know. I’ve endured a lot of that pain because the payout of using this technology is often worth the suffering. The juice is worth the squeeze, as they say. Happily, over the past five years, developing with machine learning has gotten much easier thanks to user-friendly tooling. Nowadays I find …

As a student pursuing a doctorate in systems design engineering at the University of Waterloo, Alexander Wong didn’t have enough money for the hardware he needed to run his experiments in computer vision. So he invented a technique to make neural network models smaller and faster. “He was giving a presentation, and somebody said, ‘Hey, …