Coming Soon: Synthetic Intelligence - The New Indian Express

2026-06-16 · Source: artifical intelligence via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Expert, medium

Summary

Synthetic Intelligence (SI) represents a new frontier in AI, emerging from the intersection of biology and technology through living systems. Cortical Labs, for instance, cultured 800,000 living neurons from mouse and human cells into a network that learned to play Pong, leading to the 2025 launch of their CL1, the world's first commercially available biological computer. This approach contrasts with traditional AI's high energy consumption, exemplified by GPT-4 using over 50 gigawatt hours, while the human brain operates on just 20 watts. Philosopher John Haugeland defined SI as genuinely reasoning and understanding systems, akin to synthetic diamonds, distinguishing them from mere simulations. Neuromorphic computing, with chips like IBM's NorthPole and Intel's Hala Point (simulating 1.15 billion neurons), offers a technical response by mimicking brain logic for energy efficiency. SI is poised to transform healthcare by improving diagnosis, accelerating drug discovery, and personalizing treatment.

Key takeaway

For AI Scientists and Research Scientists evaluating future intelligence paradigms, you should critically assess the shift from simulated to synthetic intelligence. This necessitates exploring biological computing platforms like Cortical Labs' CL1 and advanced neuromorphic hardware for their potential in achieving genuine understanding and superior energy efficiency, rather than solely optimizing current large language models. Consider how these emerging systems redefine the benchmarks for intelligence and computational power.

Key insights

Genuine intelligence can be engineered through biological or brain-inspired systems, moving beyond mere simulation.

Principles

• Biological neural networks minimize surprise via the free-energy principle.
• Intelligence can be engineered, not solely evolved.
• Neuromorphic chips integrate memory and processing for efficiency.

Method

The DishBrain experiment cultured 800,000 neurons, connected them to a computer, and used electrical signals for feedback, enabling them to learn Pong.

In practice

• Biological computing platforms can test drug and pharmaceutical effects.
• Cortical Labs' CL1 biological computer offers open-ended applications.
• Neuromorphic chips provide energy-efficient computational architectures.

Topics

• Synthetic Intelligence
• Biological Computing
• Neuromorphic Computing
• Cortical Labs DishBrain
• AI Energy Consumption
• Healthcare AI
• Intelligence Definition

Best for: Investor, Entrepreneur, AI Scientist, Research Scientist, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.