Aipowercoin

CAIA benchmark exposes critical gaps in AI agent evaluation for high-stakes adversarial environments like cryptocurrency markets, revealing tool selection failures and resilience limitations.

Comprehensive analysis of AI and blockchain integration for privacy protection, covering data encryption, de-identification, access control, and future applications in cybersecurity.

Analysis of legal frameworks for AI accountability in South Africa's financial sector, exploring constitutional provisions, legislative gaps, and comparative jurisprudence.

Research analyzing ChatGPT's impact on AI-related cryptocurrency returns using synthetic difference-in-difference methodology, revealing significant positive effects and attention-driven market dynamics.

Research analyzing ChatGPT's impact on AI-related cryptocurrency returns using synthetic difference-in-difference methodology, revealing significant positive effects on market valuations.

Comprehensive analysis of distributed computing approaches in ICN, covering design principles, frameworks, protocols, and applications with future research directions.

Analysis of GPU parallel computing performance using Matlab, comparing computational efficiency with CPU for various operations including FFT, matrix multiplication, and logical instructions.

OML introduces a novel AI model distribution primitive enabling open access with cryptographically enforced monetization and control, reconciling the dichotomy between closed APIs and open-weight distribution.

A novel protocol combining blockchain consensus mechanisms with distributed AI training to repurpose crypto mining infrastructure for machine learning workloads.

A theoretical proposal for a cryptocurrency using deep learning model training as proof-of-work, aiming to democratize AI access while reducing energy waste in blockchain mining.