ASI Alliance launches Cortex AI for robotics and healthcare

The Artificial Superintelligence (ASI) Alliance has unveiled Cortex (CRYPTO:CRXC), its first decentralised AI model designed to address specific industrial needs in fields such as robotics, biotechnology, and healthcare.

Cortex is the initial launch under the "ASI: Train initiative," which focuses on creating domain-specific AI solutions tailored to unique challenges in various sectors.

Unlike general-purpose AI models, Cortex offers precision, scalability, and adaptability for tasks requiring advanced, context-aware problem-solving.

According to Humayun Sheikh, CEO of Fetch.ai and chairman of the ASI Alliance, the model reduces dependency on centralised AI solutions, enabling organisations to "train, own, and build solutions with decentralised AI-trained models."

The alliance emphasises Cortex’s relevance to industries such as manufacturing, autonomous delivery, and data-driven research.

Sheikh noted that sectors like biotechnology and healthcare could benefit significantly from Cortex by utilising collaborative research data for breakthrough discoveries.

“All these areas require data coming from various research organisations, which could, in a combined way, result in step changes in discovery and utilisation,” he added.

Cortex’s decentralised framework encourages collaboration across organisations, employing governance-based models to offer an equitable alternative to centralised AI systems.

By doing so, the ASI Alliance aims to prevent power concentration in AI development, fostering free innovation for developers and industries alike.

The launch of Cortex also aligns with the ASI Alliance’s broader efforts in AI innovation.

Recently, the organisation partnered with SingularityNET (CRYPTO:AGIX) to introduce AIRIS, a self-learning proto-artificial general intelligence (AGI) system deployed in Minecraft.

This initiative demonstrated the potential of decentralised AI to autonomously adapt and solve real-time problems, paving the way for applications in robotics and automation.