Jeton.AI Raises $1 Million from Paramita VC — Emerging as a Leader in AI and Web3 Integration-News-WikiBit APP
Summary
This convergence enables seamless, efficient, and scalable solutions for decentralized applications (dApps), Web3 users, and real-time AI services. Below are the technical details of these advancements:Jeton.AIs decentralized transaction system leverages intelligent AI agents to enable autonomous, secure, and efficient financial operations in the Web3 ecosystem. This system comprises several advanced technical features:Role: AI agents interact with blockchain-based smart contracts to facilitate trustless and automated payment workflows.Mechanism: Smart contracts ensure tamper-proof execution of predefined payment terms, reducing dependency on intermediaries and enhancing operational transparency.AI Agent Functionality: AI agents optimize payment routing by dynamically selecting the most efficient blockchain network, minimizing fees, and accelerating transaction speeds.Cross-Chain Interoperability: The system supports multiple blockchain protocols, enabling seamless transactions across Ethereum, Binance Smart Chain, and other leading ecosystems.Implementation: MPC allows AI agents to compute encrypted inputs from multiple parties without exposing the underlying data, maintaining confidentiality while ensuring accurate results.Impact: This technology ensures both privacy and compliance in decentralized payment systems.Tools: Machine learning models trained on blockchain data are deployed to flag suspicious activities in real-time.Decentralization minimizes the risk of single points of failure, bolstering the robustness of the ecosystemJeton.AI has developed advanced methodologies to deploy large language models (LLMs) on mobile and edge devices, enabling real-time AI capabilities. These advancements include:What It Does: QAT incorporates quantization into the training process, ensuring that the model performs well under reduced numerical precision (e.g., 8-bit integers).Result: Reduces the computational load while preserving model accuracy, making it ideal for resource-constrained devices.What It Does: Identifies and removes redundant neurons and weights from the LLM architecture without compromising overall performance.What It Does: Reduces model precision from floating-point (e.g., 32-bit) to integer (e.g., 8-bit) formats.Custom Frameworks: Jeton.AI employs optimized frameworks like TensorFlow Lite, ONNX Runtime, and custom edge AI pipelines to deploy LLMs on mobile and IoT devices.Inference Optimization: Techniques such as layer fusion, memory footprint reduction, and hardware-specific accelerations (e.g., GPU, TPU, and NPU) are applied to enhance real-time processing.Purpose: Trains AI models across decentralized devices without transferring raw data to a central server.Benefit: Enhances privacy, reduces latency, and minimizes network load, making it ideal for edge environments.Jeton.AI employs adaptive computation techniques to balance power consumption and performance, ensuring prolonged operation on battery-powered devices.By integrating AI agent-based decentralized transactions with edge AI computing, Jeton.AI creates a unified ecosystem where:AI agents can run directly on edge devices, enabling decentralized decision-making without reliance on centralized infrastructure.Payments and AI computations are processed in real-time with minimal latency, improving user experience and scalability.Secure and private AI-powered services are accessible to users globally, regardless of their device or location.With its recent $1 million investment from Paramita VC, Jeton.AI is positioned to advance the convergence of AI and Web3 technologies further. By enhancing both its decentralized transaction ecosystem and edge AI capabilities, Jeton.AI is shaping a future where AI-driven Web3 solutions redefine the global digital economy.