Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Health scoring prioritizes measurement over meaning. A score tells you what, but rarely why. When a user sees a “bad” number, they are left with unanswerable questions: Is the score low because of ...

Conor McCoid received the 2022 Henri Fehr Prize awarded by the journal L'Enseignement Mathématique, for his thesis:'' Towards ...

Consumer Analyst Group of New York Conference 2026 February 16, 2026 7:00 PM ESTCompany ParticipantsDirk Van de Put ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Orthopedic surgeons are living in an era of unprecedented technological advancement. Robotic-assisted surgery, AI-driven ...

The marathon, the algorithm and me Twenty-five centuries ago, after the Greeks shattered the Persian army at Marathon, brave Pheidippides ran 26 miles to Athens with the news. Robert Browning’s ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

This article provides a technical analysis of proteomics data formats, exploring mzML, mzIdentML, and the evolution of ...