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...

Community

How Visa employed artificial intelligence to check $40 billion in fraud as scammers also take to AI

 Originally published on cnbc, July 25, 2024. KEY POINTS Visa is using artificial intelligence and machine learning such as risk scoring to counter fraud, the firm said. “We look at over 500 different attributes around transaction, we score that and we create a score –that’s an AI model that will actually do that. We

AI is vulnerable to attack. Can it ever be used safely?

 Originally published in nature, July 25, 2024. The models that underpin artificial-intelligence systems such as ChatGPT can be subject to attacks that elicit harmful behaviour. Making them safe will not be easy. In 2015, computer scientist Ian...

DeepMind hits milestone in solving maths problems — AI’s next grand challenge

 Originally published in nature, July 25, 2024. AlphaProof showed its prowess on questions from this year’s Mathematical Olympiad — a step in the race to create substantial proofs with artificial intelligence. After beating humans at everything from...

This new forecasting model is better than machine learning, researchers say

 Originally published in MIT Management, September 19, 2023. Why It Matters Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting. What if we told you there was a new financial forecasting model...

Widespread machine learning methods behind ‘link prediction’ are performing very poorly, study shows

 Originally published in US Santa Cruz NEWSCENTER, February 12, 2024 New research indicates that methods used to test the accuracy of link prediction are flawed, and that link prediction does not work as well as common benchmarking...

AI’s $600B Question

 Originally published in Sequoia Stories, June 20, 2024. The AI bubble is reaching a tipping point. Navigating what comes next will be essential. In September 2023, I published AI’s $200B Question. The goal of the piece was...

Google scrambles to manually remove weird AI answers in search

 Originally published in The Verge, May 24, 2024. The company confirmed it is ‘taking swift action’ to remove some of the AI tool’s bizarre responses. Social media is abuzz with examples of Google’s new AI Overview product...

The Danger Zone in Data Science: Why mediocre ML is so dangerous to the business

 Originally published in Delphina, May 29, 2024. When I (Duncan) was on Uber’s Marketplace team, we would (semi) joke that we were lurching from crisis to crisis. Our dozens of core machine learning products directly controlled billions...

Model Collapse: An Experiment – What happens when AI is trained on its own output?

 Originally published in O’Reilly, October 24, 2023. Ever since the current craze for AI-generated everything took hold, I’ve wondered: what will happen when the world is so full of AI-generated stuff (text, software, pictures, music) that our...

GPT-4 didn’t ace the bar exam after all, MIT research suggests — it didn’t even break the 70th percentile

 Originally published in Live Science, May 31, 2024. Last year, claims that OpenAI’s GPT-4 model beat 90% of trainee lawyers on the bar exam generated a flurry of media hype. But these claims were likely overstated, a...

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