Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...

online retail analytics

Leveraging Transformers to Improve Product Retrieval Results

 Originally published in Amazon Science, Aug 3, 2023. Assessing the absolute utility of query results, rather than just their relative utility, improves learning-to-rank models. When a customer clicks on an item in a list of product-search results, it implies that that item is better than those not clicked. “Learning to rank” models leverage such implicit