Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
GameSpot

Steam Machine Release Date Window, Price Speculation, And Everything We Know About Valve's Next-Gen Living Room PC

More than 12 years ago, Steam creator Valve attempted to usurp Microsoft's hold on PC gaming by introducing the first Steam Machine. The reliance on Linux and a loose hold on OEM hardware ...
IEEE

Calibration Test for Preload Control With Ultrasonic Checking for Magnet Studs During ITER Machine Assembly

Abstract: The ITER superconducting magnet system comprises 18 Toroidal Field (TF) coils, one Central Solenoid (CS), 6 Poloidal Field (PF) coils, and 18 Correction Coils (CC). These superconducting ...
IEEE

Circuits-Informed Machine Learning Technique for Blind Open-Loop Digital Calibration of SAR ADC

Abstract: This work presents a supervised machine-learning (ML) approach for blind digital calibration of SAR ADCs without requiring prior knowledge of errors. A 2-layer neural network learns the ...
GitHub

Beyond Raw Detection Scores: Markov-Aware Calibration for Boosting Machine-Generated Text Detection

This is the source code for the paper "Beyond Raw Detection Scores: Markov-Aware Calibration for Boosting Machine-Generated Text Detection" (ICLR 2026). While machine-generated texts (MGTs) offer ...