Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Why Alphabet’s Clean Energy Moonshot Depends On AI
 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer...
Predictive AI Only Works If Stakeholders Tune This Dial
 Originally published in Forbes I’ll break it to you gently:...
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...

Sandia National Laboratories

Wise Practitioner – Text Analytics Interview Series: John Herzer and Pengchu Zhang at Sandia National Laboratories

 In anticipation of their upcoming conference co-presentation, Enhancing search results relevance using Word2Vec Language Models at Text Analytics World Chicago, June 21-22, 2016, we asked Pengchu Zhang, Computer Scientist at Sandia National Laboratories, and John Herzer, Enterprise Search Project Lead at Sandia National Laboratories, a few questions about their work in text analytics. Q: In your