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TensorFlow


Epidemic Sound, the market-leading service for direct licensing of royalty-free music, today announced Epidemic Audio Reference (EAR), an audio-based search tool running on Google Cloud that will help content creators quickly and easily find music for their productions. Epidemic Sound offers 35,000 tracks and 90,000 sound effects used by millions of storytellers worldwide – everyone …

Embeddings are one of the most versatile techniques in machine learning, and a critical tool every ML engineer should have in their toolbelt. It’s a shame, then, that so few of us understand what they are and what they’re good for! The problem, perhaps, is that embeddings sound slightly abstract and esoteric: In machine learning, an embedding …

Whether they meet customers online, offline, or in some combination, retailers share a big problem: How can they offer the right choices, when and how the customer wants, without overwhelming (and often losing) the buyer? More than anything, this is an information problem. As such, it’s a good candidate for using artificial intelligence (AI) for …

In the summer, Dr. Gino Caspari’s day starts at 5:30 a.m. in Siberia, where he studies the ancient Scythians with the Swiss National Science Foundation. There, he looks for burial places of these nomadic warriors who rode through Asia 2,500 years ago. The work isn’t easy, from dealing with extreme temperatures, to swamps covered with …

Among the thousands of programming languages in existence are hundreds of “domain-specific languages” (DSLs) that have been adapted from traditional languages so that non-programmers can do their work more efficiently. DSLs are used in a wide range of fields, from web development (HTML) and database management (SQL) to genetics and machine learning (TensorFlow). One challenge …

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 …