Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It
 Originally published in Built In, July 12, 2024 When ML...
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024 The hottest thing...

Left-hand

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 accurate enough to predict the outcome of the next U.S. presidential election or next season’s NBA draft prospects?

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...

Amazon exec explains grocery tech changes, debunks media reports about human reviewers

 Originally published in GeekWire, April 17, 2024 In-depth Amazon coverage from the tech giant’s hometown, including e-commerce, AWS, Amazon Prime, Alexa, logistics, devices, and more. Amazon’s grocery technology has been in the news a lot over the...

What can LLMs never do?

 Originally published in Strange Loop Canon, April 23, 2024 On goal drift and lower reliability. Or, why can’t LLMs play Conway’s Game Of Life? Every time over the past few years that we came up with problems...

The ROI on AI: Advisors struggle to get unbiased answers from tech providers

 Originally published in FinancialPlanning, April 8, 2024 Most advisors agree that AI technology can provide efficiencies, whether it be through streamlining workflow or communicating more effectively with clients. However, the jury is out on whether these budding...

Page 2 of 50 1 2 3 4 5 6 7 50