Statistical Re-evaluation of METR's 'Time Horizon' Metrics: Understanding the Truth of AI Capabilities Through Nonlinear Models

What you will gain from this article・ Introduction of a new metric to accurately evaluate the actual difficulty of AI ...
BIOENGINEER

New FLARE Framework Brings Statistical Rigor to Nonlinear Clinical Risk Prediction

A new framework called FLARE combines nonlinear machine learning flexibility with closed-form uncertainty estimates, ...
San Francisco Fed

Estimating Nonlinear Heterogeneous Agent Models with Neural Networks

We leverage recent advancements in machine learning to develop an integrated method to solve globally and estimate models featuring agent heterogeneity, nonlinear constraints, and aggregate ...
ISA

Author Q&A: Nonlinear Model-Based Control - Using First-Principles Models in Process Control

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...