Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Data Analytics in Higher Education
 Universities confront many of the same marketing challenges as...
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...

Left-hand

Is Data Scientist Still the Sexiest Job of the 21st Century?

 Originally published in Harvard Business Review, July 15, 2022.  Ten years ago we published the article “Data Scientist: Sexiest Job of the 21st Century.” Most casual readers probably remember only the “sexiest” modifier — a comment on their demand in the marketplace. The role was relatively new at the time, but as more companies attempted to

Could Machine Learning Fuel a Reproducibility Crisis in Science?

 Originally published in Nature, July 26, 2022.   ‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn. From biomedicine to political sciences, researchers increasingly use machine learning as a tool to make predictions on the...

Heinz Taps State-of-the-Art AI to Design Its Next Ad Campaign

 Originally published in AdWeek, Aug 1, 2022. The brand is one of the first to rely on OpenAI’s Dall-E 2 art generator. Heinz tapped an artificial intelligence-powered art generator to create a clever demonstration of the ubiquity...

Yann LeCun has a Bold New Vision For The Future of AI

 Originally published in MIT Technology Review, June 24, 2022.  One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers. Around...

How Microsoft and Google Use AI Red Teams to “Stress Test” Their Systems

 Originally published in Emerging Tech Brew, June 14, 2022.  Since 2019, some Big Tech firms have implemented AI red teams to reveal shortcomings, biases, and security flaws. It was a snowy day in February, and Amanda Minnich...

Open-Source Language AI Challenges Big Tech’s Models

 Originally published in Nature.com, June 22, 2022.  An international team of around 1,000 largely academic volunteers has tried to break big tech’s stranglehold on natural-language processing and reduce its harms. Trained with US$7-million-worth of publicly funded computing...

DALL·E 2, Explained: The Promise and Limitations of a Revolutionary AI

 Originally published in Towards Data Science, June 16, 2022. DALL·E 2 is the newest AI model by OpenAI. If you’ve seen some of its creations and think they’re amazing, keep reading to understand why you’re totally right...

Artificial General Intelligence Is Not as Imminent as You Might Think

 Originally published in Scientific American, June 6, 2022.   A close look reveals that the newest systems, including DeepMind’s much-hyped Gato, are still stymied by the same old problems.   To the average person, it must seem as if...

How Wayfair and Spotify Use Machine Learning to Engage Customers

 Originally published in MIT Management, May 26, 2022. Armed with scores of data, Spotify and Wayfair use machine learning algorithms to make customers happy. Here’s how. Whether you’re combing the online aisles at Wayfair to find a...

DALL-E 2 Creates Incredible Images—and Biased Ones You Don’t See

 Originally published in Wired.com, May 5, 2022. OpenAI’s new system is adept at turning text into images. But researchers say it also reinforces stereotypes against women and people of color. MARCELO RINESI REMEMBERS what it was like to watch Jurassic...

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