Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
 Originally published in Forbes Generative AI and predictive AI ought...
For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...
AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises
  Originally published in AI Realized Now “Shouldn’t a great...

Author Archive

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 of its brand in the condiment aisle. The company’s marketing team fed a series of generic ketchup-related prompts

Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars

    Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Four Things the Machine Learning Industry...

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...

A Refresher on Continuous Versus Discrete Input Variables

 How many times have I heard that the most critical element in predictive analytics is the data? Don’t misunderstand what I am saying. Method counts as well. But if there is a choice between better data or...

Podcast: Why Deep Learning Could Expedite the Next AI Winter

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Why Deep Learning Could Expedite the Next...

PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research

 In anticipation of his upcoming presentation at Deep Learning World, Las Vegas, June 19-24, 2022, Evan Wimpey, Director of Strategic Analytics at Elder Research, provided a brief video overview of his Deep Learning World presentation, Confidence Intervals...

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