The inert gases Xe and Kr mainly exist in the used nuclear fuel (UNF) with the Xe/Kr ratio of 20:80, which it is difficult to separate. In this work, based on the G-MOFs database, high-throughput ...

User-Friendly R Package for Supervised Machine Learning Pipelines An interface to build machine learning models for classification and regression problems. mikropml implements the ML pipeline ...

This article presents a novel method for measuring the mass flow rate of gas-liquid two-phase flow based on the multi-sensor data fusion and soft computing model. A multi-sensor system comprising a ...

Last week, Google quietly released an app, Google AI Edge Gallery, that lets users run a range of openly available AI models from the AI dev platform Hugging Face on their phones.

It was also briefly showcased at the Google I/O event by Gus Martin, Gemma Product Manager at DeepMind. We're thrilled to announce SignGemma, our most capable model for translating sign language into ...

Volume diagnosis has been used effectively to identify systematic defects for yield learning. Root cause deconvolution (RCD), an unsupervised machine learning technique which uses volume diagnosis ...

This code example demonstrates how to run through the ModusToolbox Machine Learning (MTB-ML) development flow with PSoC 6 MCU, where the end user has a pre-trained Neural Network (NN) model, which can ...

It's a showcase for the best AI clips produced by Veo, though for now, it's limited to the older Veo 2 model rather than Veo 3. Google hasn't said much about the creators behind the videos in Flow ...

Enter Gemma 3N, the latest breakthrough in mobile-first artificial intelligence from Google for Developers. This innovative model promises to redefine how we interact with technology, offering a ...