Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations

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This work investigates pre-trained audio representations for few shot Sound Event Detection. We specifically address the task of few shot detection of novel acoustic sequences, or sound events with semantically meaningful temporal structure, without assuming access to non-target audio. We develop procedures for pre-training suitable representations, and methods which transfer them to our few shot …

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Debugging a FUSE deadlock in the Linux kernel

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Tycho Andersen The Compute team at Netflix is charged with managing all AWS and containerized workloads at Netflix, including autoscaling, deployment of containers, issue remediation, etc. As part of this team, I work on fixing strange things that users report. This particular issue involved a custom internal FUSE filesystem: ndrive. It had been festering for some …

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Improved CPU throttling measurement

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It has been a year and a half since we rolled out the throttling-aware container CPU sizing feature for IBM Turbonomic, and it has captured quite some attention, for good reason. As illustrated in our first blog post, setting the wrong CPU limit is silently killing your application performance and literally working as designed. Turbonomic …

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Making ML models differentially private: Best practices and open challenges

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Posted by Natalia Ponomareva and Alex Kurakin, Staff Software Engineers, Google Research Large machine learning (ML) models are ubiquitous in modern applications: from spam filters to recommender systems and virtual assistants. These models achieve remarkable performance partially due to the abundance of available training data. However, these data can sometimes contain private information, including personal …

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Introducing an image-to-speech Generative AI application using Amazon SageMaker and Hugging Face

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Vision loss comes in various forms. For some, it’s from birth, for others, it’s a slow descent over time which comes with many expiration dates: The day you can’t see pictures, recognize yourself, or loved ones faces or even read your mail. In our previous blogpost Enable the Visually Impaired to Hear Documents using Amazon …

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Build, automate, and monitor BigQuery ML models with Vertex AI MLOps capabilities

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Making machine learning (ML) models work in production is hard. It usually requires not only a deep understanding of ML, data engineering, and software engineering, but also a variety of tools and technologies. BigQuery ML and Vertex AI make it easier to create, deploy, and manage machine learning models. BigQuery ML provides a SQL interface …

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Appearance at UK House of Lords Committee on AI in Weapon Systems

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Editor’s note: In February 2023, the UK House of Lords launched a call for evidence in support of the AI in Weapons Systems Committee inquiry into the development, use, and regulation of autonomous weapons. Drawing upon our experience providing the kinds of software capabilities that underpin military applications of AI and autonomy, Palantir put forward …

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IBM named a Leader in the latest Forrester Wave™ report for AI Decisioning

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Forrester Research just released “The Forrester Wave™: AI Decisioning Platforms, Q2 2023: The 13 Providers That Matter Most And How They Stack Up” by Mike Gualtieri with Aaron Katz, Catherine Marcin, and Jen Barton, and IBM is proud to be recognized as a Leader.  This report outlines the combination of traditional decision automation tools with …

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