CIO

Predicting the future is easy — deciding what to do is the hard part

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
kottke.org

Bread Infographic

London bakery The Dusty Knuckle cleverly used a loaf of bread as a graph to illustrate the costs of running their business: This comes off the back of a big decision to increase our bakers’ pay ahead ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
Scientific Research Publishing

Shlomi, J., Battaglia, P. and Vlimant, J.-R. (2020) Graph Neural Networks in Particle Physics. Machine Learning: Science and Technology, 2, Article 021001.

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
digitalmarketreports

Xuanrui Zhang Advances Financial Security Through Real-Time Machine Learning and Graph-Based Fraud Detection

The exponential growth of digital financial services has created unprecedented challenges in fraud prevention and identity verification. Traditional rule-based systems struggle to keep pace with ...
IEEE

LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics—The Case of Greek Songs

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
marktechpost

Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning

Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...