News

Machine learning method improves accuracy of inverse protein folding for drug design
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
Tech Xplore7h
AI generates data to help embodied agents ground language to 3D world
A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect ...
Decoding high energy physics with AI and machine learning
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
GitHub2mon
Chat with your data - Solution accelerator
This repository provides an end-to-end solution for users who want to query their data ... Machine Learning prompt flow Azure feature RAG in Azure Machine Learning is enabled by integration with Azure ...
The New York Times11mon
The Data That Powers A.I. Is Disappearing Fast
Data is the main ingredient in today’s generative A.I. systems, which are fed billions of examples of text, images and ... Yacine Jernite, a machine learning researcher at Hugging Face, a ...
Frontiers11mon
Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning
To this end, this study aims to develop an efficient large data-driven model for detection of phishing through the optimal feature vectorization algorithm (OFVA) and supervised machine learning (SML .
IEEE1y
Investigating the Combination between Pre-processing Technique and Text Vectorization for Machine Learning Model in Investor Comment Classification
In this research, we utilize CS-2K composed of 1853 labelled investor comments and conduct an investigation of the combination of data ... Tomek and text vectorization techniques, namely TF-IDF and ...
marktechpost2y
Latest Machine Learning Research at MIT Presents a Novel ‘Poisson Flow’ Generative Model (PFGM) That Maps any Data Distribution into a Uniform Distribution on a High ...
Deep generative models are a popular data generation strategy used to generate high-quality samples in pictures, text, and audio and improve semi-supervised learning ... backward ODEsamplers ...