Google unveils DiffusionGemma, an AI model that breaks free of left-to-right processing

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using ...
Scientific Research Publishing

CRGANNC-GD: Graph-Diffusion End-to-End Drug Class Recommendation for Stroke Decision Support from Symptom Profiles ()

Stroke remains a leading cause of mortality and disability worldwide, requiring timely therapeutic decisions. Existing content-based drug recommendation approaches often rely on static similarity ...
IEEE

DGNMF: Dynamic Diffusion Graph Nonnegative Matrix Factorization

Abstract: In feature learning (FL), structural information shows advantages in retaining information and maintaining stability. Graph diffusion, a graph learning method that can focus on neighborhood ...
TechCrunch

Inception raises $50 million to build diffusion models for code and text

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...
IEEE

Medical Graph Diffusion: Hybrid Graph Diffusion With Heterogeneous Graph Convolutional Networks for Medical Text Classification

Abstract: Text classification is a critical task for understanding the knowledge behind text, especially in medical text. In this paper, we propose a medical graph diffusion model, named the MGD model ...
InfoQ

Large Concept Models: a Paradigm Shift in AI Reasoning

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
sei.cmu

GraphBLAS: A Programming Specification for Graph Analysis

Graph algorithms are in wide use in DoD software applications, including intelligence analysis, autonomous systems, cyber intelligence and security, and logistics optimizations. These algorithms make ...