Originally published in Forbes Why in the world would the decades-old industry of machine learning need a completely new paradigm? Imagine you’re developing a rocket. If you don’t stress test it—in its intended usage (via simulations, wind tunnels, etc.)—then its launch will be a shot in the dark, if not entirely scrubbed by sensible decision makers.
Originally published in Forbes The story about DeepSeek has disrupted the prevailing AI narrative, impacted the markets and spurred a media storm: A large language model from China competes with the leading LLMs from the U.S. – and it...
Originally published in Forbes Note: Ravi Jain, Chief Technology Officer of Tapestry, the project at X (Alphabet’s innovation lab) discussed in this article, will deliver a keynote about this project at Machine Learning Week, June 2-5, 2025 in Phoenix,...
Originally published in Forbes Note: Ravi Jain, Chief Technology Officer of Tapestry, the project at X (Alphabet’s innovation lab) discussed in this article, will deliver a keynote about this project at Machine Learning Week, June 2-5, 2025 in...
Originally published in Forbes I’ll break it to you gently: Magic crystal balls don’t exist. But there’s good news. We have the next best thing: probability. A probability isn’t a very technical thing at all. It’s a reading...
Originally published in Forbes Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. LDMs complement LLMs by capitalizing on the world’s...
Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes fewer headlines these days, but its vital role in achieving operational gains only continues to expand. Moreover, many thought leaders and AI evangelists contend that predictive AI delivers...
Originally published in Forbes This is the third of a three-article series covering the business value of predictive AI, using misinformation detection as an example for illustration: article 1, article 2, article 3. It’s an established practice, yet...
Originally published in Forbes This is the second of a three-article series covering the business value of predictive AI, using misinformation detection as an example for illustration: article 1, article 2, article 3. Man, I wish I had...
Universities confront many of the same marketing challenges as corporations. While businesses need to attract potential customers, universities need to entice prospective students. A prospect needs to be converted to a customer, while a potential student needs...
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