TechTalks Archive

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2023

21 June 2023 :

LLMs: A New Way to Teach Programming with Daniel Zingaro and Leo Porter

31 May 2023 :

Correctness by Construction How Can We Build Better Software with Ina Schaefer

9 May 2023 :

Large Language Models and the End of Programming with Matt Welsh

20 April 2023 :

Individual Contributor to Software VP Four Career Transitions, Many Challenges with Steve McConnell

29 March 2023 :

Future of DevOps with Sasha Rosenbaum

7 March 2023 :

State of Data Mesh with Zhamak Dehghani

15 February 2023 :

Effective Developer Testing with Mauricio Aniche

25 January 2023 :

Reduce System Complexity with Data Oriented Programming with Yehonathan Sharvit

2022

7 December 2022 :

An AI-first Approach to Accelerating Autonomous Trucking with Raquel Urtasun

26 October 2022 :

Tradeoffs in the Software Workflow with Titus Winters

26 September 2022 :

The Evolution of Accessibility with Jenny Lay-Flurrie

27 July 2022 :

Seismic Shifts Challenges and Opportunities in the 'Post ISA' Era of Computer Systems Design with Margaret Martonosi

30 June 2022 :

Secure Computation in Practice with Raluca Ada Popa

8 June 2022 :

The Past, Present, and Future of Supply Chain Security with Dan Lorenc

11 May 2022 :

Lessons From the Fifty Year Quest to Turn Programmers into Software Engineers with Adam Barr

14 April 2022 :

Instant Memory Training for Tech Success - The ABCs and 123s for Developing a Powerful Memory with Chester Santos

16 March 2022 :

Deep Learning for Sequences in Quantitative Finance with David Kriegman

10 March 2022 :

Visual Data Analysis: Why? When? How? with Pat Hanrahan and Tamara Munzner

3 February 2022 :

Software Engineering at Google with Titus Winters

11 January 2022 :

The Art of Concurrency in Go with Johnny Boursiquot

2021

1 December 2021 :

The Essence of Software (Or Why Systems Often Fail by Design, and How to Fix Them) with Daniel Jackson

11 November 2021 :

Getting Started with Kubernetes with Nigel Poulton

26 October 2021 :

Machine Learning for Algorithm Design with Maria Florina Balcan

6 October 2021 :

Human Inspired Artificial Intelligence with Manish Gupta

9 September 2021 :

Quantum Computational Supremacy with Scott Aaronson

11 August 2021 :

Running Linux Apps on Windows: How and Why? with Scott Hanselman

22 July 2021 :

Turing Lecture 2021: Abstractions, Their Algorithms, and Their Compilers

12 July 2021 :

Learning from Data: The Two Cultures with Adji Bousso Dieng

7 June 2021 :

Learning Symbolic Equations with Deep Learning with Shirley Ho

20 May 2021 :

Horizontal Leadership: Practical Lessons for Driving Company-Wide Strategy and Action with Eve Andersson

13 April 2021 :

Democratizing AI: Creating Cognitive AI Assistants with No Coding with Michelle Zhou

25 March 2021 :

An Industry Perspective on What We Should Be Teaching Our Next Generation of Software Practitioners in the Universities with Paul McMahon

4 March 2021 :

The Four PEGS of Requirements Engineering with Bertrand Meyer

11 February 2021 :

Reproducing 150 Research Papers and Testing Them in the Real World: Challenges and Solutions with Grigori Fursin

19 January 2021 :

Agent-Human Collaboration and Learning for Improving Human Satisfaction with Sarit Kraus

12 January 2021 :

ACM Queue Case Study Q&A: Always-On Time-Series Database with Theo Schlossnagle

2020

9 December 2020 :

Code Reviews - From Bottleneck to Superpower with Michaela Greiler

2 November 2020 :

It's Time Deep Learning Learned from Software Engineering with Jeremy Howard

14 October 2020 :

Lessons from COVID-19: Efficiency vs Resilience with Moshe Vardi

22 September 2020 :

Performance (Really) Matters with Emery Berger

1 September 2020 :

Quantum Networks: From a Physics Experiment to a Quantum Network System with Stephanie Wehner

11 August 2020 :

How to Create Generalizable AI with Anima Anandkumar

24 July 2020 :

Abuses and Misuses of AI: Prevention vs. Reaction with Cristian Canton

8 July 2020 :

Apache Arrow and the Future of Data Frames with Wes McKinney

8 June 2020 :

Leveraging the ACM Code of Ethics Against Ethical Snake Oil and Dodgy Development with Don Gotterbarn and Marty Wolf

22 May 2020 :

Integrating AWS Lambda with Your Majestic Monolith with Luke Closs

30 April 2020 :

Data for Good: Ensuring the Responsible Use of Data to Benefit Society with Jeannette Wing

25 March 2020 :

The Decision-Making Side of Machine Learning: Computational, Inferential, and Economic Perspectives with Michael I. Jordan

26 February 2020 :

Fairness in Machine Learning with Tulsee Doshi

5 February 2020 :

OOPS! Learning From Surprise at Netflix with Lorin Hochstein

7 January 2020 :

Seven Unbreakable Rules of Software Leadership with Steve McConnell

2019

16 December 2019 :

PyTorch: A Modern Library for Machine Learning with Adam Paszke

13 November 2019 :

Recommender Systems: Beyond Machine Learning with Joseph Konstan

1 November 2019 :

Rust: In It for the Long Haul with Carol Nichols

29 August 2019 :

A New Golden Age for Computer Architecture with Dave Patterson

1 August 2019 :

The Emerging Role of Mobile Computing in Health with Shwetak Patel

11 July 2019 :

The Power and Limits of Deep Learning with Yann LeCun

20 June 2019 :

The Joy of Functional Programming (for Data Science) with Hadley Wickham

4 June 2019 :

Agile Data Science: Achieving Salesforce-Scale Machine Learning in Production with Sarah Aerni

30 April 2019 :

The Exascale Computing Project and the Future of HPC with Doug Kothe

3 April 2019 :

The Future of Wireless and What It Will Enable with Andrea Goldsmith

7 March 2019 :

Building a Culture to Support Inclusive Design with Jen Devins

13 February 2019 :

The Bayesian Zig Zag: Developing Probabilistic Models Using Grid Methods and MCMC with Allen Downey

23 January 2019 :

Designing an ML Minded Product and a Product Minded ML System with Grace Huang

2018

4 December 2018 :

Break Into AI: Building a Career in Machine Learning with Andrew Ng

15 November 2018 :

Concurrent Object Oriented Programming with Bertrand Meyer

26 September 2018 :

Explainable Machine Learning Models for Healthcare AI

7 September 2018 :

Project Jupyter: From Computational Notebooks to Large Scale Data Science with Sensitive Data with Brian Granger

8 August 2018 :

From Media to Meaning: Classic Machine Learning with Blaise Agüera y Arcas

24 July 2018 :

Adversarial Machine Learning with Ian Goodfellow

12 July 2018 :

Scala Is for... Distributed Systems? Web Apps? Front-end Development? with Heather Miller

14 June 2018 :

Journey to a Real-Time Enterprise with Neha Narkhede

7 June 2018 :

Intro to Angular with Stephen Fluin

25 April 2018 :

History of Software Engineering with Grady Booch

28 March 2018 :

Is Blockchain a Branch of AI? with Toufi Saliba

9 March 2018 :

What Can Kotlin Do for Me? with Hadi Hariri

21 February 2018 :

Computing for Disasters with Robin Murphy

18 January 2018 :

Hierarchical Adversarially Learned Inference with Negar Rostamzadeh

9 January 2018 :

QISKit: A Swiss Army Knife for Quantum Computation with Jay Gambetta

2017

15 November 2017 :

Reactive Microsystems - The Evolution of Microservices at Scale with Jonas Boner

13 October 2017 :

Algorand: A Better Distributed Ledger with Silvio Micali

21 September 2017 :

ImageNet: Where Have We Gone? Where Are We Going? with Fei-Fei Li

7 September 2017 :

Open Collaboration, the Eclipse Way with Mike Milinkovich

16 August 2017 :

AI, People, and the Open World with Eric Horvitz

12 July 2017 :

Monadic Programming for the Web Using React and RxJS with Pat Sissons

15 June 2017 :

Using Machine Learning to Study Neural Representations of Language Meaning with Tom Mitchell

31 May 2017 :

Application Management with Kubernetes with Kelsey Hightower

3 May 2017 :

Preventing Information Leaks with Policy-Agnostic Programming with Jean Yang

7 April 2017 :

The Next Radical Internet Transformation: How Blockchain Technology is Transforming Business, Governments, Computing, and Security Models with Mark Mueller-Eberstein

17 March 2017 :

Speaking Data: Simple, Functional Programming with Clojure with Paul deGrandis

7 February 2017 :

Current Trends in High Performance Computing and Challenges for the Future with Jack Dongarra

25 January 2017 :

Panel and Town Hall: Big Thoughts and Big Questions about Ethics in Artificial Intelligence

2016

8 December 2016 :

Town Hall on A.I., Machine Learning, and More with Peter Norvig

19 October 2016 :

TensorFlow: A Framework for Scalable Machine Learning with Martin Wicke

27 September 2016 :

Generators: Powering Iteration in Python with Luciano Ramalho

2 August 2016 :

Evolving Critical Systems with Mike Hinchey

7 July 2016 :

Large-Scale Deep Learning with TensorFlow with Jeff Dean

17 June 2016 :

The Evolution of Microservices with Adrian Cockroft

16 May 2016 :

A Pragmatic Introduction to Multicore Synchronization with Samy Al Bahra

16 March 2016 :

From BI to Big Data - Architecture, Ethics, and Economics with Barry Devlin

Page of

ACM TechTalks

Reskilling to Build Diverse Tech Teams

View the recent ACM TechTalk, "Reskilling to Build Diverse Tech Teams." Panelists included ACM Professional Development Committee (PDC) member Sue Black, Professor of Computer Science and Technology Evangelist at Durham University (who also served as panel moderator); ACM Education Board Co-Chair and ACM Distinguished Educator Elizabeth Hawthorne, Graduate Program Director of Cybersecurity at Rider University; ACM Practitioner Board Vice-Chair Marlene Mhangami, Software Engineer and Developer Advocate at Voltron Data; ACM PDC member Tan Moorthy, advisory board member and strategy consultant in the areas of workforce transformation and sustainable development; and Brad Voeller, Founder of New Apprenticeship. Continue the discussion on ACM's Discourse Page.