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In the News
Models will run the World
The software revolution has transformed business. What’s next? Processes that constantly improve themselves without need of human intervention.
Who needs democracy when you have data?
Here’s how China rules using data, AI, and internet surveillance.
The rise of chinese voice assistants
A look at the low-cost, high-volume smart speaker market and how new business models are blurring competitive lines.
A.I. is now a Pentagon priority. Will Silicon Valley help?
Workplace
What Data Scientists really do, according to 35 Data Scientists
Modern data science emerged in tech, from optimizing Google search rankings and LinkedIn recommendations to influencing the headlines Buzzfeed editors run. But it’s poised to transform all sectors, from retail, telecommunications, and agriculture to health, trucking, and the penal system. Yet the terms “data science” and “data scientist” aren’t always easily understood, and are used to describe a wide range of data-related work.
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Learning
25 Machine Learning Startups To Watch in 2018
NLP’s generalization problem, and how researchers are tackling it
Q&A with Yoshua Bengio
On how to build a successful research career and maintain your sanity (and those of your students) while doing so
Software tools & code
Scaling Uber’s Customer Support Ticket Assistant (COTA) system with Deep Learning
Uber recently introduced its Customer Obsession Ticket Assistant (COTA) system, a tool that leverages machine learning and natural language processing (NLP) techniques to recommend support ticket responses (Contact Type and Reply) to customer support agents, with Contact Type being the issue category that the ticket is assigned to and Reply the template agents use to respond.
Scheduling Notebooks at Netflix
Netflix is adopting notebooks as an integrated development platform, and is currently migrating all 10,000 of the scheduled jobs running on its Data Platform to use notebook-based execution.
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