30s Summary
The ASI Alliance has launched Cortex, a precision, scalable, and adaptable artificial intelligence (AI) model designed to cater to the unique needs of different sectors. Cortex is the inaugural product of ASI Alliance’s “ASI: Train” initiative, which aims to create AI solutions for areas such as robotics, biotech and healthcare. Humayun Sheikh, the head of Fetch.ai and chairman of the ASI Alliance, said it could reduce reliance on existing AI solutions and could greatly impact manufacturing, autonomous delivery, and data-driven research. Cortex promotes a decentralized AI ownership model, which differs from centralized AI that often concentrates power and stifles innovation.
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The ASI Alliance, a team working on improving decentralized artificial intelligence, has just rolled out Cortex. This new AI model is all about tackling problems in various sectors.
This is the first model to come out of the alliance’s “ASI: Train” initiative which is all about crafting AI solutions for specific areas like robotics, biotech, and healthcare.
Cortex varies from the run-of-the-mill AI models, as it’s specifically made for precision, scalability, and adaptability to cater to the unique needs of different fields. It’s all about taking on complicated tasks that require context-aware problem-solving.
The boss of Fetch.ai and the chairman of the ASI Alliance, Humayun Sheikh, mentions that this new development might lessen dependency on current AI solutions. Entities can now “train, own and build solutions with decentralized AI-trained models.”
On a side note, ASI alliance recently launched a self-learning proto-AGI in Minecraft alongside SingularityNET.
Cortex provides an alternative to the current general-purpose AI models and could have big impacts on manufacturing, autonomous delivery, and data-driven research.
Sheikh also pointed out that the robotics industry is a hot area right now and they’ve got partners eager to use the Cortex model.
Whether you’re in bio-tech, healthcare, the gig economy, or research, Cortex can process data from different sectors and could trigger big leaps in discovery and utility.
Cortex is offering a decentralized approach to AI ownership. It encourages collaboration across various sectors and organizations with the use of a governance-based model. This differs from centralized AI solutions that often accumulate power and inhibit free innovation.
The first launch of the ASI: Train initiative – Cortex, is expected to provide a more democratic option for AI development that is tailor-made for specific industries.
Lastly, the ASI Alliance recently launched a self-teaching proto-AGI in Minecraft with SingularityNET. This application could ramp up AI development potential broadly and open new doors for AI in robotics, automation, and systems designed to solve real-time problems.