Tech Xplore

Easier parameter tuning for prediction using echo state networks

Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These ...

Brain imaging reveals how neural networks coordinate multiple streams at once

Working with concurrent electroencephalogram and functional magnetic resonance imaging technology at the Beckman Institute's ...
IEEE

Graph Neural Network for Source Code Defect Prediction

Abstract: Predicting defective software modules before testing is a useful operation that ensures that the time and cost of software testing can be reduced. In recent years, several models have been ...
GitHub

Heterogeneous Directed Hypergraph Neural Network (HDHGN)

Our experiment is done in Ubuntu 18.04.6 LTS and in python 3.8. We implement our model by pytorch 1.10 and torch geometric 2.1.0. We train our model on a RTX 3090. The required environments are listed ...
Microsoft

AFGNN: API Misuse Detection using Graph Neural Networks and Clustering

Application Programming Interfaces (APIs) are crucial to software development, enabling integration of existing systems with new applications by reusing tried and tested code, saving development time ...
The New York Times

The Privacy Battle in Our Brains

My colleague talks about technology that can actually read our minds — and maybe even change them. By Katrin Bennhold I’m the host of The World. Our brains are being bombarded by social media and ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
InfoQ

Bringing AI Inference to Java with ONNX: a Practical Guide for Enterprise Architects

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 ...
Frontiers

Deriving equivalent symbol-based decision models from feedforward neural networks

Artificial intelligence (AI) has emerged as a transformative force across industries, driven by advances in deep learning and natural language processing, and fueled by large-scale data and computing ...
GitHub

AIKA: Artificial Intelligence for Knowledge Acquisition

AIKA (Artificial Intelligence for Knowledge Acquisition) is an innovative approach to neural network design, diverging from traditional architectures that rely heavily on rigid matrix and vector ...
Analytics Insight

What Does an AI Research Scientist Do?

What powers the evolution of Artificial Intelligence? AI Research Scientist plays a pivotal role in advancing AI by developing innovative Machine Learning models, refining Neural Networks, and ...