Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Left-hand

New Theory Suggests Chatbots Can Understand Text

 Originally published in Quanta Magazine, Jan 22, 2024.  Artificial intelligence seems more powerful than ever, with chatbots like Bard and ChatGPT capable of producing uncannily humanlike text. But for all their talents, these bots still leave researchers wondering: Do such models actually understand what they are saying? “Clearly, some people believe they do,” said the AI

AlphaGeometry: An Olympiad-Level AI System for Geometry

 Originally published in Google DeepMind, Jan 17, 2024.   Our AI system surpasses the state-of-the-art approach for geometry problems, advancing AI reasoning in mathematics Reflecting the Olympic spirit of ancient Greece, the International Mathematical Olympiad is a modern-day arena...

2024 Data Engineering Trends

 Originally published in Kestra, Jan 24, 2024. Doing More with Less The tech industry in 2024 is under pressure to optimize resources. Technology and data leaders are asked to integrate more data to support new AI-driven features...

Fashion Repeats Itself: Generating Tabular Data Via Diffusion and XGBoost

 Originally published by Alexia Jolicoeur-Martineau, Sept 19, 2023. Since AlexNet showed the world the power of deep learning, the field of AI has rapidly switched to almost exclusively focus on deep learning. Some of the main justifications are that...

Google DeepMind Used A Large Language Model to Solve An Unsolved Math Problem

 Originally published in MIT Technology Review, Dec 14, 2023. Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper published in Nature today, the researchers say it is...

Vertical AI – Why a Vertical Approach is Key to Building Enduring AI Applications

 Originally published in Greylock, Dec 6, 2023.  The rise of Vertical SaaS in the past decade has demonstrated the power of industry-specific software, producing dozens of winners like Toast, Shopify, Procore, and ServiceTitan. Yet there are still...

The Real Research Behind the Wild Rumors About OpenAI’s Q* Project

 Originally published in Understanding AI, Dec 7, 2023.  On November 22, a few days after OpenAI fired (and then re-hired) CEO Sam Altman, The Information reported that OpenAI had made a technical breakthrough that would allow it to “develop...

The Beatles Just Released Their Final Song That Resurrects John Lennon’s Voice with AI

 Originally published in The Byte, Nov 2, 2023. More than 50 years after their breakup, The Beatles have released their final song — and used AI to bring John Lennon’s voice back to life. In an announcement published...

Peak Data

 Originally published in East Wind, Oct 25, 2023. I’m probably not the first person to write about the insane leverage that LLMs confer to engineers, but Stack Overflow’s 28% layoff really got me thinking about the future of human-generated data,...

The World’s Biggest AI Models Aren’t Very Transparent, Stanford Study Says

 Originally published in The Verge, Oct 18, 2023.   No prominent developer of AI foundation models — a list including companies like OpenAI and Meta — is releasing sufficient information about their potential impact on society, determines a new...

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