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Learning Center TechTalks Archive

2023

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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
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Intro to Angular with Stephen Fluin
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History of Software Engineering with Grady Booch
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Is Blockchain a Branch of AI? with Toufi Saliba
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What Can Kotlin Do for Me? with Hadi Hariri
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Computing for Disasters with Robin Murphy
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Hierarchical Adversarially Learned Inference with Negar Rostamzadeh
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QISKit: A Swiss Army Knife for Quantum Computation with Jay Gambetta

2017

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Reactive Microsystems - The Evolution of Microservices at Scale with Jonas Boner
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Algorand: A Better Distributed Ledger with Silvio Micali
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ImageNet: Where Have We Gone? Where Are We Going? with Fei-Fei Li
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Open Collaboration, the Eclipse Way with Mike Milinkovich
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AI, People, and the Open World with Eric Horvitz
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Monadic Programming for the Web Using React and RxJS with Pat Sissons
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Using Machine Learning to Study Neural Representations of Language Meaning with Tom Mitchell
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Application Management with Kubernetes with Kelsey Hightower
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Preventing Information Leaks with Policy-Agnostic Programming with Jean Yang
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The Next Radical Internet Transformation: How Blockchain Technology is Transforming Business, Governments, Computing, and Security Models with Mark Mueller-Eberstein
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Speaking Data: Simple, Functional Programming with Clojure with Paul deGrandis
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Current Trends in High Performance Computing and Challenges for the Future with Jack Dongarra
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Panel and Town Hall: Big Thoughts and Big Questions about Ethics in Artificial Intelligence

2016

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Town Hall on A.I., Machine Learning, and More with Peter Norvig
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TensorFlow: A Framework for Scalable Machine Learning with Martin Wicke
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Generators: Powering Iteration in Python with Luciano Ramalho
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Evolving Critical Systems with Mike Hinchey
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Large-Scale Deep Learning with TensorFlow with Jeff Dean
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The Evolution of Microservices with Adrian Cockroft
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A Pragmatic Introduction to Multicore Synchronization with Samy Al Bahra
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From BI to Big Data - Architecture, Ethics, and Economics with Barry Devlin
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Fail Better: Radical Ideas from the Practice of Cloud Computing with Tom Limoncelli
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Computational Thinking with Grady Booch

2015

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Making Big Data Processing Simple with Spark with Matei Zaharia
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The Five Tribes of Machine Learning with Pedro Domingos
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Innovation Colonies with Dominic Holt
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What Makes a Great Software Engineer? with Paul Li
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Disasters: Robots, Computing, and Informatics with Robin Murphy
Page of
ACM TechTalks

Yehonathan Sharvit TechTalk

View the recent ACM TechTalk, "Reduce System Complexity with Data-Oriented Programming," by Yehonathan Sharvit, Software Architect at Cycognito. Paul DeGrandis, Senior Director of Research at Kevel, moderated the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.