Category: FAANG



Virtual assistants are becoming increasingly important speech-driven Information Retrieval platforms that assist users with various tasks. We discuss open problems and challenges with respect to modeling spoken information queries for virtual assistants, and list opportunities where Information Retrieval methods and research can be applied to improve the quality of virtual assistant speech recognition. We discuss …

Read more “Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities”

Now is a good time to start thinking about the governance of superintelligence—future AI systems dramatically more capable than even AGI.

Site-to-site Virtual Private Network (VPN) has been used to connect distributed networks for decades. This post describes how to use a VPC VPN Gateway to connect an on-premises (enterprise) network to the IBM Cloud VPC in a transit hub-and-spoke architecture: VPN Gateway connectivity to a VPC transit hub and spoke. Each spoke can be operated …

Read more “How to use VPN with a VPC hub-and-spoke architecture”

Be it marketing, sales, or even security, most departments in large organizations today have a range of SaaS tools at their disposal to help make their work more efficient. But people in corporate finance and accounting have been underserved in that respect. Their days are still spent on routine, mundane tasks that keep them away …

Read more “How Auditoria.AI is building AI-powered smart assistants for finance teams”

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 …

Read more “Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations”

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 …

Read more “Debugging a FUSE deadlock in the Linux kernel”

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 …

Read more “Improved CPU throttling measurement”