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Learning Center TechTalks Archive

2025

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Functional Programming in Financial Markets with José Pedro Magalhães
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An Elementary Approach to Quantum Computing with Charlee Stefanski and Constantin Gonciulea
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Programming for All A Feminist Case for Language Design with Felienne Hermans
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Dynamic Neural Network Compression for Scalable AI Deployment with Aditya Challapally
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Building Reliable AI Agents and LLM Apps Using LangChain and LangGraph with Mayo Oshin and Nuno Campos
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Empirical Software Design: When & Why with Kent Beck
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Applying Cinematic Techniques to Data Storytelling with Angelica Lo Duca
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The Death of Work: Leading Effective Engineering Teams with Sarah Drasner
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Unlock Hugging Face: Simplify AI with Transformers, LLMs, RAG, Fine Tuning with Wei-Meng Lee
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Testing the System: A Holistic Approach to Security in Systems Development with Scott Tilley

2024

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Research to Reality: Building Production Ready LLM Apps Users Can Trust with Rush Shahani
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Product Management in the AI Era with Christine Robson
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Developing Vascular Digital Twins to Shift from Reactive to Proactive Care with Amanda Randles
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Lessons Learned from Building GitHub Copilots with Eddie Aftandilian
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Introduction to Retrieval Augmented Generation with Abhinav Kimothi
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Software Product Management: From Opinions to Data Driven Experimentation with Jan Bosch
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From ML Engineering to AI Engineering with Chip Huyen
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Understanding the LLM Development Cycle: Building, Training, and Finetuning with Sebastian Raschka
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Design is Testability with Titus Winters
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Programming Distributed Systems with Mae Milano
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Fireside Chat with Entrepreneur/Venture Capitalist Vinod Khosla
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The Impact of ML/AI on Networking and the Internet Over the Last Decade with JP Vasseur

2023

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Redefining Human AI Interaction in Programming with Sandeep Kaur Kuttal
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Unpredictable Black Boxes are Terrible Interfaces with Maneesh Agrawala
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The Medium Term Future of Evolutionary Architecture with Rebecca Parsons
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Creating Local First Collaboration Software with Automerge with Martin Kleppmann
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Ethical and Responsible Large Language Models Challenges and Best Practices with Nicole Konigstein and Miquel Noguer i Alonso
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Reskilling to Build Diverse Tech Teams
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LLMs: A New Way to Teach Programming with Daniel Zingaro and Leo Porter
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Correctness by Construction How Can We Build Better Software with Ina Schaefer
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Large Language Models and the End of Programming with Matt Welsh
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Individual Contributor to Software VP Four Career Transitions, Many Challenges with Steve McConnell
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Future of DevOps with Sasha Rosenbaum
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State of Data Mesh with Zhamak Dehghani
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Effective Developer Testing with Mauricio Aniche
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Reduce System Complexity with Data Oriented Programming with Yehonathan Sharvit

2022

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An AI-first Approach to Accelerating Autonomous Trucking with Raquel Urtasun
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Tradeoffs in the Software Workflow with Titus Winters
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The Evolution of Accessibility with Jenny Lay-Flurrie
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Seismic Shifts Challenges and Opportunities in the 'Post ISA' Era of Computer Systems Design with Margaret Martonosi
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Secure Computation in Practice with Raluca Ada Popa
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The Past, Present, and Future of Supply Chain Security with Dan Lorenc
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Lessons From the Fifty Year Quest to Turn Programmers into Software Engineers with Adam Barr
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Instant Memory Training for Tech Success - The ABCs and 123s for Developing a Powerful Memory with Chester Santos
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Deep Learning for Sequences in Quantitative Finance with David Kriegman
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Visual Data Analysis: Why? When? How? with Pat Hanrahan and Tamara Munzner
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Software Engineering at Google with Titus Winters
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The Art of Concurrency in Go with Johnny Boursiquot

2021

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The Essence of Software (Or Why Systems Often Fail by Design, and How to Fix Them) with Daniel Jackson
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Getting Started with Kubernetes with Nigel Poulton
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Machine Learning for Algorithm Design with Maria Florina Balcan
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Human Inspired Artificial Intelligence with Manish Gupta
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Quantum Computational Supremacy with Scott Aaronson
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Running Linux Apps on Windows: How and Why? with Scott Hanselman
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Turing Lecture 2021: Abstractions, Their Algorithms, and Their Compilers
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Learning from Data: The Two Cultures with Adji Bousso Dieng
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Learning Symbolic Equations with Deep Learning with Shirley Ho
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Horizontal Leadership: Practical Lessons for Driving Company-Wide Strategy and Action with Eve Andersson
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Democratizing AI: Creating Cognitive AI Assistants with No Coding with Michelle Zhou
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An Industry Perspective on What We Should Be Teaching Our Next Generation of Software Practitioners in the Universities with Paul McMahon
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The Four PEGS of Requirements Engineering with Bertrand Meyer
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Reproducing 150 Research Papers and Testing Them in the Real World: Challenges and Solutions with Grigori Fursin
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Agent-Human Collaboration and Learning for Improving Human Satisfaction with Sarit Kraus
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ACM Queue Case Study Q&A: Always-On Time-Series Database with Theo Schlossnagle

2020

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Code Reviews - From Bottleneck to Superpower with Michaela Greiler
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It's Time Deep Learning Learned from Software Engineering with Jeremy Howard
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Lessons from COVID-19: Efficiency vs Resilience with Moshe Vardi
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Performance (Really) Matters with Emery Berger
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Quantum Networks: From a Physics Experiment to a Quantum Network System with Stephanie Wehner
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How to Create Generalizable AI with Anima Anandkumar
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Abuses and Misuses of AI: Prevention vs. Reaction with Cristian Canton
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Apache Arrow and the Future of Data Frames with Wes McKinney
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Leveraging the ACM Code of Ethics Against Ethical Snake Oil and Dodgy Development with Don Gotterbarn and Marty Wolf
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Integrating AWS Lambda with Your Majestic Monolith with Luke Closs
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Data for Good: Ensuring the Responsible Use of Data to Benefit Society with Jeannette Wing
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The Decision-Making Side of Machine Learning: Computational, Inferential, and Economic Perspectives with Michael I. Jordan
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Fairness in Machine Learning with Tulsee Doshi
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OOPS! Learning From Surprise at Netflix with Lorin Hochstein
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Seven Unbreakable Rules of Software Leadership with Steve McConnell

2019

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PyTorch: A Modern Library for Machine Learning with Adam Paszke
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Recommender Systems: Beyond Machine Learning with Joseph Konstan
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Rust: In It for the Long Haul with Carol Nichols
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A New Golden Age for Computer Architecture with Dave Patterson
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The Emerging Role of Mobile Computing in Health with Shwetak Patel
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The Power and Limits of Deep Learning with Yann LeCun
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The Joy of Functional Programming (for Data Science) with Hadley Wickham
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Agile Data Science: Achieving Salesforce-Scale Machine Learning in Production with Sarah Aerni
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The Exascale Computing Project and the Future of HPC with Doug Kothe
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The Future of Wireless and What It Will Enable with Andrea Goldsmith
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Building a Culture to Support Inclusive Design with Jen Devins
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The Bayesian Zig Zag: Developing Probabilistic Models Using Grid Methods and MCMC with Allen Downey
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Designing an ML Minded Product and a Product Minded ML System with Grace Huang

2018

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Break Into AI: Building a Career in Machine Learning with Andrew Ng
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Concurrent Object Oriented Programming with Bertrand Meyer
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Explainable Machine Learning Models for Healthcare AI
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Project Jupyter: From Computational Notebooks to Large Scale Data Science with Sensitive Data with Brian Granger
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From Media to Meaning: Classic Machine Learning with Blaise Agüera y Arcas
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Adversarial Machine Learning with Ian Goodfellow
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Scala Is for... Distributed Systems? Web Apps? Front-end Development? with Heather Miller
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Journey to a Real-Time Enterprise with Neha Narkhede
Page of
ACM TechTalks

Quantum Programming in Depth: Bringing Software Engineering Practices to Quantum Computing

View the recent ACM TechTalk, "Quantum Programming in Depth: Bringing Software Engineering Practices to Quantum Computing," presented by Mariia Mykhailova, Principal Quantum Software Developer at PsiQuantum.Gideon Uchehara, PhD student and intern at PsiQuantum, moderated the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.

Image of Mariia Mykhailova