News

IEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning
An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...
AI uses extrapolative learning to master materials prediction beyond existing data
A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...
EurekAlert!2d
AI that masters predictions beyond existing data ―transforming data-driven materials science―
Developed the machine learning algorithm E2T and its software for learning to learn for extrapolative prediction.Achieved ...
TechBullion1d
Trends in LLMs, Multimodal Models, and Conversational AI: Lohitaksh Yogi
The rapid advancements in Artificial Intelligence (AI) and Machine Learning (ML) have ushered in a new era of language-driven innovations, redefining how businesses and individuals engage with ...
Wikipedia Is Making a Dataset for Training AI Because It’s Overwhelmed by Bots
The company wants developers to stop straining its website, so it created a cache of Wikipedia pages formatted specifically ...
AI has grown beyond human knowledge, says Google's DeepMind unit
A new agentic approach called 'streams' will let AI models learn from the experience of the environment without human ...
GitHub5d
Graph Contrastive Learning with Augmentations
For the automated version of GraphCL, please refer to https://github.com/Shen-Lab/GraphCL_Automated. For the extention of GraphCL to hypergraphs, please refer to ...
GitHub5d
3D Force-Directed Graph
A web component to represent a graph data structure in a 3-dimensional space using a force-directed iterative layout. Uses ThreeJS/WebGL for 3D rendering and either d3-force-3d or ngraph for the ...