The growing phenomenon that is artificial intelligence (AI) is progressively shifting the boundaries between fiction and reality, integrating itself into a wide range of industries into the information age. Whether those industries be finance, commercial, or healthcare, the potential of AI and its applications to our daily lives is, so far, unmatched.
Through this continuously advancing technology, there are multiple projects that are working to develop and contribute innovation through the power of AI. These four AI projects aren’t just progressing in their specialized fields, they’re creating new standards for future innovators in the exploration of AI and the capabilities it truly wields.
Qubic was founded by Sergey Ivancheglo, the mind behind renowned projects like IOTA and NXT, and sets out to take the next step in combining AI and blockchain technology. The AI project operates on a quorum-based computing system which consists of 676 Computors tasked with the execution of smart contracts.
Computers operate in the Qubic ecosystem, where a consensus of over two-thirds is required to finalize decision. This process ensures that every decision made is reliable while mitigating the risks of fraudulent activities happening on-chain by bad actors.
Unlike traditional blockchains that demand high energy outputs, Qubic introduces its unique Useful Proof-of-Work (uPoW) system. The uPoW consensus system keeps the network secure while utilizing the collective computational power to train AI models — further improving energy consumption productivity and future capabilities.
Qubic is able to utilize distributed AI training to provide a democratic means of granting AI technology access to all users globally. This supports a model, where participants are referred to as Candidates, to help training AI without direct compensation to create a collaborative and equitable space for all network users.
To facilitate long-term economic stability, each epoch in the Qubic timeline produces 1 trillion Qubic Units (QUs), which are distributed mainly amongst active Computers. This process incentivizes the efficiency of contributors to the network, user participation, and overall health and security of the network as a whole.
SingularityNET focuses on the development, sharing, and monetization of AI services, creating a decentralized marketplace specifically for AI algorithms. The platform facilitates collaboration amongst developers globally and significantly expands upon AI application potential through collective community efforts.
The AI project improves the functionality of various AI services by facilitating communication and collaboration across its platform and is committed to the creation of ethical AI. By promoting transparency and beneficial use of AI technology, SingularityNET functions as a proponent of open-source AI development.
SingularityNET’s economy is token-based to incentivize both sides of the marketplace of AI services, benefiting the creators and the consumers to establish an equally competitive and collaborative marketplace platform. Amid the ongoing ASI Alliance merger, there has been changes to the face of the token-based economy, but not to the fundamental value and utility.
DeepMind was acquired back in 2014 by Google and continues to act as a powerhouse for the research of AI technologies to push the boundaries of its capabilities across all fields. This AI project is known for its achievement with AlphaGo but has expanded its scope to tackle the complexities of real-world inefficiencies.
From improving energy efficiency in data centers to protein folding with AlphaFold, Google DeepMind excels both in theoretical and practical AI research in its efforts to solve global problems. For example, the breakthrough in understanding protein structures through AlphaFold has opened the door to potential disease comprehension and new drug solution discoveries.
Like SingularityNET, Google DeepMind works towards ethical AI discussion and use, aiming to promote safer approaches to AI development and application. The AI project’s work seeks to ensure AI capabilities benefit all users globally and equally.
Ocean Protocol, also part of the ASI Alliance merger, aims to address a key area in AI — the equitable and secure sharing of data. This AI project offers participants a decentralized data exchange infrastructure that prioritizes data control and privacy while ensuring transparency to create a trustless system.
Through this AI-powered data exchange, data providers can share and monetize their data in a secure manner without loss of control over their assets. This secure data transaction process is reinforced by the platform’s decentralized governance, which involves a community-driven approach to ensuring users are actively involved in the platform’s development.
Ocean Protocol is working to build an inclusive AI ecosystem that allows data to be tokenized and then bought or sold securely to create a secure decentralized data economy. By ensuring data providers have a clear balance between control of their data and privacy, this AI project will soon be working alongside SingularityNET as part of larger decetntralized AI initiatives.
The four projects highlighted above — Qubic, SingularityNET, Google DeepMind, and Ocean Protocol — reveal the ongoing efforts being made to limit break the confines of AI development and its capabilities for the future. Who can know what waits around the corner?
Each project provides a unique solution to both local and global challenges faced throughout the AI sector and builds towards safer and more decentralized use of this progressive technology. From decentralized decision-making to transparent yet privacy-preserving data marketplaces, the true potential of AI is still being discovered.
What we do know is that these AI innovative projects are building for the wide and equal distribution of AI technology, ensuring the hands that use it are assured accessibility to it. When seeking the AI gems of tomorrow, look no further.