News

Unprecedented dataset of molecular simulations to train AI models released
A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los ...
News-Medical.Net1d
Using causal machine learning to identify potential ALS treatments
Potential treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases may already be out there in ...
How multimodal discovery is redefining SEO in the AI era
Multimodal discovery blends voice, visuals, and AI insights. Learn how to evolve your SEO to meet the demands of this new ...
Paste Magazine6d
The 40 Best Albums of 2025 So Far
Paste Magazine is your source for the best music, movies, TV, comedy, videogames, books, comics, craft beer, politics and ...
Scientific Research Publishing6d
Deep Learning for Personalized Pharmacotherapy in Pregnant Women with Psychiatric Disorders ()
Deep Learning, Personalized Pharmacotherapy, Pregnancy, Psychiatric Disorders, Electronic Health Records, Drug Efficacy Share and Cite: Filippis, R. and Foysal, A. (2025) Deep Learning for ...
IEEE8d
Performance Evaluation of Multi-instance Multi-label Classification using Kernel based K-Nearest Neighbour Algorithm
Abstract: A new learning ... class labels. This framework is used to understand how multiple instances or complex objects with different semantic meanings are related to many labels. In existing ...
IEEE11d
A Multi-label Classification Algorithm for Non-standard Text
Abstract: To solve the difficulty of extracting semantic features from non-standard text, this paper proposes an algorithm combining deep learning to generate ... performance in dealing with the multi ...
GitHub13d
falcony-io/ml-annotate
You can use ML-Annotate to label text data for machine learning purposes ... Example', order_index=1)], # supported types: binary, multi-label, multi-class # add more labels if using other labels.