Communications of the ACM

Collective Intelligence Doesn’t Scale, In-Context Collaborative Learning Does

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
IEEE

Generating Adversarial Malware Examples Against Multiple Machine Learning Detectors

Abstract: Malware poses a significant threat to network and information system security, particularly in industrial Internet of Things (IIoT) environments, where embedded systems and edge devices ...
pv magazine International

Ensemble deep learning for PV cell defect detection

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
archive

Machine Learning for Data Streams: with Practical Examples in MOA

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Frontiers

Dynamic ensemble-based machine learning models for predicting pest populations

1 The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi, India 2 ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India Early prediction of pest occurrences can ...
Frontiers

A physics-based ensemble machine-learning approach to identifying a relationship between lightning indices and binary lightning hazard

To convert lightning indices generated by numerical weather prediction experiments into binary lightning hazard, a machine-learning tool was developed. This tool, consisting of parallel multilayer ...
IEEE

A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System

Abstract: Network intrusion detection systems (NIDSs) to detect malicious attacks continue to meet challenges. NIDS are often developed offline while they face auto-generated port scan infiltration ...