From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
GitHub

atakmty/tox21-sr-mmp-ml-prediction

This repository contains a comprehensive machine learning project that systematically evaluates 8 different algorithms for predicting mitochondrial membrane potential (MMP) toxicity using the Tox21 ...
Los Angeles Times

I tried the $430 tuning fork facial. Here’s how it went

This is read by an automated voice. Please report any issues or inconsistencies here. I genuinely love a good facial — the ritual of it, the permission to lie still for 90 minutes, the way my skin ...
The New York Times

Tuning In

Sometimes we assume the people and things around us are neutral or hostile to our existence. What if the opposite could be true? By Melissa Kirsch Normally I pass my morning commute absorbed in a book ...
www.cs.cmu.edu

On Noisy Evaluation in Federated Hyperparameter Tuning

Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...
IEEE

Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios

Abstract: Software defect prediction (SDP) is crucial for delivering high-quality software products. The SDP activities help software teams better utilize their software quality assurance efforts, ...
fordmuscle

COBB Tuning Unlocks Big Gains With Gen 3 Raptor Calibrations

For a long while, Ford’s security protocols prevented recalibrating a modern Ford’s factory powertrain control module to deliver more performance and enable modifications. Now the horse is out of the ...
marktechpost

Dynamic Fine-Tuning (DFT): Bridging the Generalization Gap in Supervised Fine-Tuning (SFT) for LLMs

Supervised Fine-Tuning (SFT) is a standard technique for adapting LLMs to new tasks by training them on expert demonstration datasets. It is valued for its simplicity and ability to develop ...
C&EN

Feature Selection and Hyperparameter Optimization for Machine Learned Classification of 3D Single-Particle Tracking

Department of Chemistry, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States Department of Chemistry, Rice University, Houston, Texas 77005, United States Department of ...