Enterprises need to tie their generative AI and agentic development efforts to foundational IT principles. AI development ...

“Inclusive education continues to be a regional priority for our Pacific Ministers of Education who committed at the CPEM 2023 to ensuring that education is available to all learners irrespective of ...

Potential developments include integrating quantum-resistant security, self-healing architectures, and federated learning ...

Rukayat Olapojoye, an AI expert, has dedicated her career to answering the question of how to defend AI, and she takes us through her journey.

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

Machine Learning in Fraud Detection Market size is expected to reach USD 302.9 billion by 2034, projected at a CAGR of 35.8%.

The introduction of BadUnlearn highlights a previously unaddressed security risk, demonstrating that FU alone is not a ...

Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile Create optimized graph-based models and functions in any native framework ...

To address this issue, this paper proposes an innovative graph federated learning framework called FedBFGCN (Graph Federated Learning Based on Balanced Channel Attention and Cross-Layer Feature Fusion ...

Abstract: In this paper, we investigate federated learning (FL) efficiency improvement in practical ... for the single-agent DRL framework and a decentralized partially-observable Markov decision ...