Highlights from the Artificial Intelligence Conference in London 2018
Watch highlights from expert talks covering artificial intelligence, machine learning, automation, and more.
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AI in production: The droids you’re looking for
Jonathan Ballon explains why Intel’s AI and computer vision edge technology will drive advances in machine learning and natural language processing.
The state of automation technologies
Ben Lorica and Roger Chen highlight recent trends in data, compute, and machine learning.
Why we built a self-writing Wikipedia
Amy Heineike explains how Primer created a self-updating knowledge base that can track factual claims in unstructured text.
AI for a better world
Ashok Srivastava draws upon his cross-industry experience to paint an encouraging picture of how AI can solve big problems.
Rethinking software engineering in the AI era
Yangqing Jia talks about what makes AI software unique and its connections to conventional computer science wisdom.
Four short links: 10 October 2018
Better Education, Do You Need Blockchain?, Visualization Book, and Hiring Coders
What we learn from AI’s biases
Our bad AI could be the best tool we have for understanding how to be better people.
Four short links: 9 October 2018
Lost Lessons, Metaphors to Monads, Future of Work, and Awesome Starts at The Top
Four short links: 8 October 2018
Stripe Stats, Worker Ethics, FPGA Futures, and Internet Archive Stats
Four short links: 5 October 2018
Supply Chain Security, ML in FB Marketplace, Datasette Ideas, and Scraper DSL
Four short links: 4 October 2018
Autonomy and UI, Replicating ML Research, FPGA Dev, and Standard Notes
Chaos Day: When reliability reigns
Tammy Butow explains how companies can use Chaos Days to focus on controlled chaos engineering.
Critical path-driven development
Jaana Dogan explains why Google teaches its tracing tools to new employees and how it helps them learn about Google-scale systems end to end.
O’Reilly Radar: Systems engineering tool trends
Roger Magoulas shares insights from O'Reilly's online learning platform that point toward shifts in the systems engineering ecosystem.
Why marketing matters
Michael Bernstein offers an unflinching look at some of the fallacies that developers believe about marketing.
Practical ethics
Laura Thomson shares Mozilla’s approach to data ethics, review, and stewardship.
Four short links: 3 October 2018
Positive Chatbot, Inside Serverless, TimBL's Next Project, and Voting Machines