The partnership between Floki and Rice Robotics marks a significant milestone in the development of AI-powered companion robots, with the launch of the Minibot M1 set to revolutionize the way we interact with technology.
Floki Teams With Softbank Partner Rice Robotics for Tokenization of AI Data
A New Era in AI Robotics: Minibot M1 and the Future of Tokenized Data
The partnership between Floki and Rice Robotics marks a significant milestone in the development of AI-powered companion robots. The ‘Minibot M1’ , set to launch on the RICE AI platform, promises to revolutionize the way we interact with technology.
Floki is a popular cryptocurrency that originated from the Shiba Inu meme.
It was created in March 2021 as a spin-off of Dogecoin, another well-known meme-based cryptocurrency.
The name 'Floki' is derived from the Viking explorer Erik the Red's son, Floki Vilgerdarson.
As a decentralized digital currency, Floki operates on the Ethereum blockchain and uses a consensus algorithm to validate transactions.
Its market capitalization has fluctuated significantly since its inception, making it a popular topic of discussion among cryptocurrency enthusiasts.
A Growing Market and a Partner for Growth
The AI robotics market is projected to reach an estimated $100 billion by 2030, driven by increasing demand for smart home devices and autonomous systems. With this growth in mind, Rice Robotics has partnered with Floki to advance its blockchain initiatives and tokenize its brand and AI data marketplace through TokenFi.
Tokenization of AI Data: A New Frontier
Tokenizing real-world assets is a relatively new concept, but one that holds immense potential for the future of AI. By tokenizing its AI data, Rice Robotics aims to create a decentralized marketplace where robots can buy and share top-notch training data. This system will enable robots worldwide to work independently without central control, making them more useful in real-world applications.
Data tokenization is a process in artificial intelligence (AI) where sensitive data, such as credit card numbers or personal identifiable information (PII), is replaced with unique tokens.
This technique enhances data security by reducing the risk of data breaches and unauthorized access.
In AI applications, tokenized data enables machine learning models to function without compromising sensitive information.
The process involves mapping original data to a new set of tokens, allowing for secure data processing and analysis.
A Strong Foundation: High-Profile Clients and Funding
RICE AI boasts high-profile clients such as Nvidia, Softbank, Dubai Future Foundation, Mitsui Fudosan, NTT Japan, and ‘7-Eleven’ . The company has also raised over $7 million in a pre-Series A funding round from investors including Alibaba Entrepreneurs Fund, Soul Capital and Audacy Ventures.
Market Reaction: Floki’s Price Surge
The news of the partnership between Floki and Rice Robotics has sent shockwaves through the market, with ‘FLOKI prices surging 16% in the past 24 hours’ . This price bump is a testament to the growing interest in AI-powered companion robots and the potential for tokenized data.
A New Era for Tokenization
The launch of the Minibot M1 and the partnership between Floki and Rice Robotics marks a significant step forward in the development of tokenized AI data. As the market continues to grow, it will be exciting to see how this technology evolves and is adopted by businesses and consumers alike.
