Dan Herbatschek Leads New Initiative in New York and Los Angeles to Advance Transparency and Interpretability in Machine Learning

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.
InfoQ

Google Launches Agent Development Kit for Go

Google has added support for the Go language to its Agent Development Kit (ADK), enabling Go developers to build and manage ...

Learn How to Use Excel Copilot for Professional Charts, Formulas and More

Get faster reports with Copilot in Excel, from smart insights and visuals to Python in Excel Premium, plus prompts, review ...
TechAnnouncer

Master Python with These Top Online Practice Resources

Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online ...
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 ...
IEEE

Anomaly Detection Over Multi-Relational Graphs Using Graph Structure Learning and Multi-Scale Meta-Path Graph Aggregation

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...
Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...