In this episode of ACM ByteCast, Rashmi Mohan hosts 2024 ACM/AAAI Allen Newell Award recipient Peter Stone, Professor at the University of Texas at Austin and Chief Scientist at Sony AI. He received the award for significant contributions to the theory and practice of AI, especially in reinforcement learning (RL), multiagent systems, transfer learning, and intelligent robotics. As a leading figure in AI research, Stone has fundamentally advanced how autonomous agents learn, plan, and collaborate. His groundbreaking work on RL algorithms has enabled robots to acquire skills through experience. He is an ACM, AAAI, AAAS, and IEEE Fellow, an Alfred P. Sloan Research Fellow, and a Fulbright Scholar. At UT Austin, he is the founder and director of the Learning Agents Research Group (LARG) within the Artificial Intelligence Laboratory, as well as Founding Director of Texas Robotics. In the past, he also worked at AT&T Labs - Research and co-founded Cogitai, Inc. (acquired by Sony).

Register now for the upcoming ACM TechTalk, "Software Verification in the Age of Artificial Intelligence," presented on Thursday, May 7 at 12:00 PM ET/16:00 UTC  by Bertrand Meyer, Professor at ETH Zurich and CTO of Eiffel Software and Recognyze AI. ACM SIGSOFT Special Projects Coordinator Will Tracz will moderate the Q&A session. Continue the discussion on ACM's Discourse Page.

This Aspire Journey includes interactive content from Codecademy.

On today's web, performance isn't just a nice-to-have—it's essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness.

Large language models (LLMs) have become pivotal in advancing AI applications across industries, yet their growing adoption introduces unique security challenges. This course covers critical aspects of LLM security by exploring the architecture and generative AI principles that underpin these models. In this course, explore the fundamentals of LLMs, their enterprise relevance, the common security threats they face, and historical incidents that have shaped current practices. Next, discover the key concepts and terminology related to LLM security. Finally, learn about agentic AI, tool calling risks, and response mechanisms, including the risks posed by agentic AI actions. After completing this course, you will be able to apply foundational safeguards to secure LLM deployments.

View the recent ACM TechTalk, "Toward a Quantum-Native Internet: From Architecture to Protocol Organization," presented by Angela Sara Cacciapuoti, Professor of Quantum Communications and Networks at the University of Naples Federico II (Italy). ACM Distinguished Member Rajkumar Kettimuthu, Senior Scientist and Group Leader, Argonne National Laboratory, moderated the Q&A session. Continue the discussion on ACM's Discourse Page.

View the recent ACM TechTalk, "A Practical Introduction to Agentic Coding," presented by Microsoft Python/AI Expert Marlene Mhangami. The discussion was moderated by Open Source Researcher Abigail Mesrenyame Dogbe. Continue the discussion on ACM's Discourse Page.

View the recent ACM TechTalk, "Make More Money at Work: How to Ask for a Raise at a New Job," presented by Professional Career Coach Laura Browne and moderated by Professional Career Coach and Consultant Barbara Limmer. Continue the discussion on ACM's Discourse Page.

View the recent ACM TechTalk, "How to Extract Meaningful Insights from Data," presented by Angelica Lo Duca, Researcher at the Institute of Informatics and Telematics of the National Research Council, Italy. Victor Yocco, UX Researcher at ServiceNow, moderated the questions and answers session. Continue the discussion on ACM's Discourse Page.

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.