Google's TabFM skips per-dataset training and still predicts on tables it's never seen

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...

Researchers develop low-cost AI tool to help cities map urban tree canopy

As a heat dome drives dangerous temperatures across much of the United States and renews concerns about extreme heat, USC ...

Study raises concerns about AI health-prediction models trained on unreliable datasets

Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...
The Print on MSN

AI models to predict stroke, diabetes were built on unverifiable data, says study

The study published in the journal BMC Medicine was led by researchers at the Queensland University of Technology and the ...
IEEE

An Improved Prediction Algorithm for Noise of Transformer Considering Material Parameter Uncertainty

Abstract: This study proposes a rapid transformer noise prediction method to quantify the propagation of electrical steel material uncertainties in transformer systems. To characterize uncertainties ...
The Lancet

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...
IEEE

Taxi Fare Prediction using Random Forest: A Data-Driven Approach based on Pickup/Dropoff Locations and Ride Attributes

Abstract: The accurate estimation of taxi fares is critical for enhancing pricing fairness and optimizing operations within the transportation sector. This paper presents a Random Forest-based ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
Forbes

Proof: The ‘Preemptive Prediction Algorithm’ Boosts The Customer Experience

Forbes contributors publish independent expert analyses and insights. Innovation. Entrepreneurship. Culture. As businesses rush to create AI-powered customer experiences, they face a choice. They can ...