In this episode of ACM ByteCast, Rashmi Mohan hosts Henrique Malvar, a signal processing researcher at Microsoft Research (Emeritus). He spent more than 25 years at Microsoft as a distinguished engineer and chief scientist, leading the Redmond, Washington lab (managing more than 350 researchers). At Microsoft, he contributed to the development of audio coding and digital rights management for the Windows Media Audio, Windows Media Video, and to image compression technologies, such as HD Photo/JPEG XR formats and the RemoteFX bitmap compression, as well as to a variety of tools for signal analysis and synthesis. Henrique is also an Affiliate Professor at the Electrical and Computer Engineering Department at the University of Washington and a member of the National Academy of Engineers. He has published over 180 articles, has been issued over 120 patents, and has been the recipient for countless awards for his service.

Register now for the next free ACM TechTalk, "An Elementary Approach to Quantum Computing," presented on Thursday, July 17 at 12:00 PM ET/16:00 UTC by Charlee Stefanski, Senior Software Engineer at Wells Fargo, and Constantin Gonciulea, the leader of the Advanced Technology group at Wells Fargo. Alex Khan, Visiting Fellow at the University of Maryland National Quantum Laboratory, will moderate the questions and answers session following the the talk. Continue the discussion on ACM's Discourse Page.

We have added dozens of new and updated Pluralsight learning paths, with hundreds of new courses added. These significant new additions to the custom ACM Pluralsight course library extend coverage of today’s most in-demand skills, technologies, and vendor certifications, including coverage of .NET and Blazor, Angular, AWS and Azure cloud, C#, Data Engineering, DevOps and ITOps, Generative AI and Machine Learning, Java and the Spring Framework, Kubernetes, Linux, Python, React, and Rust.

This book begins with the foundational knowledge of AI and LangChain, followed by practical tools like Python, neural networks, and cloud platforms such as AWS and Azure. You will explore LangChain’s architecture and gain hands-on experience integrating LangChain with leading cloud platforms. You will analyze AI applications in modern operational frameworks, such as DevOps and MLOps, and gain insights into the exciting future trends, ethical AI practices, and real-world deployment strategies that are shaping the evolution of AI and LangChain.

In this course, you’ll gain the ability to improve your productivity and find insights that would normally be hidden in your data. First, you’ll explore how to create, troubleshoot, and summarize data movement processes by using Copilot for data pipelines and DataFlow Gen2. You will enhance your productivity and data insights by creating stunning reports and summarizing data with Copilot in Power BI. Finally, you’ll learn how to integrate Azure AI services and easily find insights in your data with AI Skills in Microsoft Fabric.

In this Challenge Lab, you will explore how to generate image descriptions by using Azure AI Vision Services. First, you will generate a simple image description by using Azure Vision API. Next, you will generate descriptions for complex images. Finally, you will use Azure Vision Studio to perform Image Analysis.

On completion of this path, the learner will be able to design and operationalize solutions to maximize the performance and scale of Machine Learning. These solutions will include Machine Learning infrastructure, data and feature quality processes, model formats and training (Real and Batch), in addition to model deployment options - real-time model serving and batch model scoring, monitoring model performance & reliability, scaling Machine Learning models and automated Machine Learning interventions.

View the recent ACM TechTalk, "Programming for All: A Feminist Case for Language Design," presented by Felienne Hermans, Professor at Vrije Universiteit Amsterdam. Mark Guzdial, Professor and Director for the Program in Computing for the Arts and Sciences at the University of Michigan, moderated the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.

View the recent ACM TechTalk, "Dynamic Neural Network Compression for Scalable AI Deployment," presented by Aditya Challapally, Applied Science Lead at Microsoft. Chris Pease, Researcher at the MIT Media Lab, moderated the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.

ACM Selects are themed shortlists curated by subject matter experts for both serious and emerging computing professionals, with the goal of providing new ways to discover relevant resources. Please visit our archive of Selects on a variety of subjects which is available here.

Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.

The Distinguished Speakers Program (DSP) is one of ACM's most valued outreach programs, providing universities, corporations, event and conference planners, and local ACM chapters with direct access to top technology leaders and innovators from nearly every sector of the computing industry. ACM will cover the cost of transportation for the speaker to travel to your event.