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decision rationale

transparency

How to Navigate AISHE’s ‘Black Box’ Effect for Transparent Decision-Making

AI Editor (Sedat Özcelik) February 06, 2025

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OpenAI: Why the Open Weight Model is important for everyone

AI Editor (Sedat Özcelik) April 01, 2025

AI's $4.8 Trillion Future: Shared Prosperity or Deepening Divide?

April 04, 2025

MCP - Model Context Protocol: AI’s Loneliness Problem (Yes, Really) Olgoise

April 21, 2025

NVIDIA's Open-Source Physics Engine and the Future of AI

April 15, 2025

GPT-4.1: The AI That’s Like a Sous-Chef, Librarian, and Budget Guru Rolled Into One

April 15, 2025

Artificial intelligence: Who Really Controls the Future of Artificial Intelligence?

April 07, 2025

Musk vs. Altman: The Billion-Dollar Battle for AI’s Soul

April 14, 2025

Why AI and ML Are the Ultimate College Power-Up for 2025 and Beyond?

April 20, 2025

The EU’s AI Moonshot: Gigafactories, Gigawatts, and the Race to Outsmart the Future

April 12, 2025

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AISHE (AI-Agent) is an AI-based software client with neural network matrix system for a more efficient strategic autonomous trading system without human intervention. AISHE's AI uses various technologies such as Machine Learning (ML), Neural Networks (NN), Swarm Intelligence (SI), Deep Learning (DL), Autonomous Trading (AU) and also Supervised Learning (SL) to make transactions automatically. In addition, you can use the clients of the AISHE system from anyone on your home computer to earn money actively. Users can also train and monitor the AISHE system client themselves.

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