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

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

As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...

👀 Overview mlip is a Python library for training and deploying Machine Learning Interatomic Potentials (MLIP) written in JAX. It provides the following functionality: Multiple model architectures ...

This paper ”A new hybrid inference model for human performance reliability prediction: a case study of construction workers” was published in Smart Construction.

To illustrate the proposed methodology, we present the estimation of a model for car-following behavior based upon a naturalistic dataset. Overall, the results indicate that learning active inference ...

Our aim is to show that privacy-preserving machine learning inference methods can safeguard the intellectual property of models and prevent plaintext models from disclosing information about the ...