Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...

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Predicting Long-Term User Engagement from Short-Term Behavior

 Originally published in Insight, Nov 17, 2021. User engagement is one of many crucial elements to study and understand deeply for both well-established companies and nascent startups throughout the development of a product. A product’s health can be broadly measured from the delicate balance between new user adoption, engagement, retention, and churn, all of which

EXCLUSIVE: Chinese Province Targets Journalists, Foreign Students with Planned New Surveillance System

 Originally published in Reuters, Nov 29, 2021.   Security officials in one of China’s largest provinces have commissioned a surveillance system they say they want to use to track journalists and international students among other “suspicious people”, documents...

A Behind-the-Scenes Look at How Postman’s Data Team Works

 Originally published in Entrepreneur’s Handbook, Oct 7, 2021 How Postman’s data team set up better onboarding, infrastructure, and processes while growing 4–5x in one year. Postman is no stranger to scale. What started out as a side project...

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model

 Originally published in Microsoft Research Blog, Oct 11, 2021 We are excited to introduce the DeepSpeed- and Megatron-powered Megatron-Turing Natural Language Generation model (MT-NLG), the largest and the most powerful monolithic transformer language model trained to date,...

Tesla Officially Launches Its Insurance Using ‘Real-Time Driving Behavior,’ Starting in Texas

 Originally published in Electrek, Oct 14, 2021 Tesla has now officially launched its insurance product using “real-time driving behavior.” The product is only available in Texas for now. The automaker has already introduced its own insurance product...

The Pentagon Inches Toward Letting AI Control Weapons

 Originally published in Wired, Oct 5, 2021 Drills involving swarms of drones raise questions about whether machines could outperform a human operator in complex scenarios. Last August, several dozen military drones and tanklike robots took to the skies and roads 40 miles...

A Tiny Tweak to Zomato’s Algorithm Led to Lost Delivery Riders, Stolen Bikes and Missed Wages

 Originally published in Rest of World, Oct 7, 2021 The Indian food delivery giant changed riders’ beats without warning, crashing their earnings and exposing some to crime. On September 30, around 60 delivery riders wearing the red...

Five Points for Anger, One for a ‘Like’: How Facebook’s Formula Fostered Rage and Misinformation

 Originally published in The Washington Post, Oct 26, 2021.   Facebook engineers gave extra value to emoji reactions, including ‘angry,’ pushing more emotional and provocative content into users’ news feeds. Five years ago, Facebook gave its users five...

The First Rule of Machine Learning: Start without Machine Learning

 Originally published in Eugeneyan. Applying machine learning effectively is tricky. You need data. You need a robust pipeline to support your data flows. And most of all, you need high-quality labels. As a result, most of the...

Minority Voices ‘Filtered’ Out of Google Natural Language Processing Models

 Originally published in United AI, Sept 24, 2021. According to new research, one of the largest Natural Language Processing (NLP) datasets available has been extensively ‘filtered’ to remove black and Hispanic authors, as well as material related to gay...

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