Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

Cracking the Code: How Machine Learning Connects Shoppers to the Right Products Marketplaces must solve the problem of connecting buyers with the most relevant products amid millions, if not billions, ...

In this study, we developed a systematic analytical framework leveraging machine learning to decode analyte-specific hidden multispectral features within nIR spectra that are indistinguishable by ...

A machine learning algorithm for a low-speed primary coding algorithm based on automatic recognition of speech signal fragments (SS) using hidden Markov models (HMM) has been developed. When assessing ...