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."

Decentralized artificial intelligence (AI) firm SingularityNET and tech conglomerate Cisco have partnered to develop applied artificial general intelligence (AGI) technologies. AGI is one aspect of AI technology that concentrates on learning the intellectual tasks of which humans are capable. Sometimes referred to as "Strong AI," AGI emphasizes a machine's ability to reason in uncertain situations, solve puzzles, plan and communicate in natural language. Goertzel also said that the scale of Cisco's AGI deployments will be a major driver for the firm's development, stating: "The work we've done with Cisco on smart traffic analytics using OpenCog's logical reasoning and deep neural networks just scratches the surface. Let's just say we have some much broader and deeper conversations going on."

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Cisco announced a partnership Monday with bot-building platforms Gupshup and API.ai that allows thousands of bots to quickly join Cisco Spark and Cisco Tropo platforms. It also turns up the intensity in competition between enterprise team communication chat apps like Skype and Slack. The announcement was made during Cisco Live, a four-day Cisco event taking place in Las Vegas this week. Gupshup built an SMS social network of more than 50 million users, mainly in India, before becoming an enterprise messaging service company in 2010. Today, it processes four billion messages a month.