Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...

Industry News

How AI Could Help Translate the Written Language of Ancient Civilizations

 Originally published in University of Chicago News, March 11, 2020 OI, Computer Science scholars collaborate on program to read cuneiform tablets. Twenty-five centuries ago, the “paperwork” of Persia’s Achaemenid Empire was recorded on clay tablets—tens of thousands of which were discovered in 1933 in modern-day Iran by archaeologists from the University of Chicago’s Oriental Institute.

The 5 Classification Evaluation Metrics Every Data Scientist Must Know. And when Exactly to Use Them?

 Originally pubished in Medium, Sept 17, 2019. What do we want to optimize for? Most of the businesses fail to answer this simple question. Every business problem is a little different, and it should be optimized differently....

Reuters Uses AI To Prototype First Ever Automated Video Reports

 Originally published in Forbes, Feb 7, 2020 AI is coming for journalism. But rather than simply being used to take jobs from writers, Reuters has now shown that it can enhance the scale and personalization of news...

The New Business of AI (and How It’s Different From Traditional Software)

 Originally published in a16z.com February 16, 2020 At a technical level, artificial intelligence seems to be the future of software. AI is showing remarkable progress on a range of difficult computer science problems, and the job of...

Amazon’s A.I. Emotion-Recognition Software Confuses Expressions for Feelings

 Originally published in Medium OneZero, October 29, 2019 People’s faces say a lot less about their emotions than companies think. August, Amazon announced it had improved “accuracy for emotion detection” in its facial-recognition software. Not only could...

Remember FindFace? The Russian Facial Recognition Company Just Turned On A Massive, Multimillion-Dollar Moscow Surveillance System

  Originally published in Forbes.com, January 29, 2020 Built on several tens of thousands of cameras and what’s claimed to be one of the most advanced facial recognition systems on the planet, Moscow has been quietly switching...

An AI Epidemiologist Sent the First Warnings of the Wuhan Virus

 Originally published in Wired.com, January 25, 2020 The BlueDot algorithm scours news reports and airline ticketing data to predict the spread of diseases like those linked to the flu outbreak in China. On January 9, the World...

How Trip Inferences and Machine Learning Optimize Delivery Times on Uber Eats

 Originally published in Uber Engineering, June 15, 2018 In Uber’s ride-hailing business, a driver picks up a user from a curbside or other location, and then drops them off at their destination, completing a trip. Uber Eats,...

Open-Source Library Provides Explanation for Machine Learning Through Diverse Counterfactuals

 Originally published in Microsoft Research Blog, January 28, 2020 Consider a person who applies for a loan with a financial company, but their application is rejected by a machine learning algorithm used to determine who receives a...

Keeping Data Inclusivity Without Diluting your Results

 Originally published in WeAllCount.com, January 17, 2020 Let’s say you are surveying 100 people out of 10,000. You want to analyze the data from your sample of 100 to get answers about the likely behaviors and preferences...

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