But with nearly every industry racing to develop and deploy AI-powered technologies, the biggest growth is yet to come. According to Transparency Market Research, the global artificial intelligence market is projected to grow from $233.8 billion in 2017 to $3.1 trillion in 2025. The biggest gains, however, will be experienced by AIs that can learn from each other, leveraging external datasets and capabilities. There is currently no platform that enables this type of interoperability and coordination. The launch of such a platform would be one of the biggest breakthroughs ever in the evolution of AI.
Cisco has established a partnership with blockchain firm SingularityNET to explore decentralised artificial intelligence. The partners are specifically looking at artificial general intelligence (AGI) technologies which aim to replicate the complex tasks of which humans are capable. AGI is considered a step above standard AI because it aims to add human-like reasoning capabilities in uncertain scenarios. Such processing will enable AGIs to do things like solve puzzles and make plans which are beyond that of today's AIs. "The scale of the AGI deployments needed by a partner like Cisco is going to be tremendous, and we are working hard to make sure our AGI tools and our blockchain-based platform is up to the task."
Networking giant Cisco Systems selected the blockchain-based platform developed by SingularityNET to host its decentralized AGI project. Artificial General Intelligence is a branch of AI that focuses on a computer's ability to learn intellectual tasks. Whereas existing AI might learn to read characters on a page, for example, a true AGI system might intuit how to write the book. In a joint statement, Dr. Ben Goertzel, SingularityNET CEO, said, "The scale of the AGI deployments needed by a partner like Cisco is going to be tremendous, and we are working hard to make sure our AGI tools and our blockchain-based platform is up to the task." SingularityNET's platform democratizes AI by decentralizing its source, preventing any single force or player from hoarding computers' capacity to learn.