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 does so without requiring nearly the costly computational investment. Maybe the U.S. doesn’t have the technological lead we
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...
Originally published in Forbes, August 21, 2024 This is the first 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. Not all...
 |
 |
 |
The Machine Learning Times © 2025 • 1221 State Street • Suite 12, 91940 •
Santa Barbara, CA 93190
Produced by: Rising Media & Prediction Impact