Could data centres use human brain cells to process information?
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What to know about Could data centres use human brain cells to process information?
What previously required months or years of specialised lab work can now be done in hours or days thanks to its integrated platform.
Claims checked
16
Techniques found
0
Topics
0
Coverage spectrum
Coverage gap: Low Left coverage4 sources compared across this story cluster. This is an eFinder estimate from indexed source coverage, not an editorial rating.
What happened
What previously required months or years of specialised lab work can now be done in hours or days thanks to its integrated platform.
Why it matters
As companies around the world race to build more data centres to power artificial intelligence (AI) models, researchers are exploring whether living human cells could be used in computing systems.
Common ground
An Australian start-up says it has created the world’s first device that allows users to “run code” on living human brain cells.
Perspective signals
No major persuasion pattern has been attached yet, so the source, headline, and evidence should carry most of the weight for readers.
Follow-up questions
- What concrete event or decision sits underneath the headline: Could data centres use human brain cells to process information??
- What evidence would most clearly confirm or weaken the claim that What previously required months or years of specialised lab work can now be done in hours or days thanks to its integrated platform?
- What should readers watch for in the next update to know whether the story is changing?
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Read the original article: https://www.euronews.com/next/2026/04/04/can-brain-cells-run-computers-this-star…
fact_checkClaims Checked
eFinder analyzed this article and checked 16 claims against available evidence, cross-references, web search, and Wikipedia. Here is what the fact-checking layer found.
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Insufficient Evidence
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Pending
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Verified By Reference
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Claim 1: “What previously required months or years of specialised lab work can now be done in hours or days thanks to its integrated platform.”
INSUFFICIENT EVIDENCE
No evidence found in cross-references, web search, or Wikipedia to support the claim about lab work time reduction.
Claim 2: “The system, CL1, works by growing neurons from stem cells and placing them on chips that can send and receive electrical signals.”
INSUFFICIENT EVIDENCE
No evidence found in cross-references, web search, or Wikipedia to confirm CL1's neuron growth methodology.
Claim 3: “Instead, future systems are likely to integrate biological and silicon-based approaches to achieve capabilities that neither could deliver alone, the co-founder said.”
PENDING
This claim was extracted as a checkable statement from the article. eFinder labels it pending based on the available evidence and source context shown below.
Claim 4: “Three-dimensional brain-like structures, known as organoids, could offer greater potential, although these remain experimental.”
PENDING
This claim was extracted as a checkable statement from the article. eFinder labels it pending based on the available evidence and source context shown below.
Claim 5: “An Australian start-up says it has created the world’s first device that allows users to 'run code' on living human brain cells.”
INSUFFICIENT EVIDENCE
No evidence found in cross-references, web search, or Wikipedia to confirm Cortical Labs' claim about running code on brain cells.
Claim 6: “Cortical Labs has developed a system that combines lab-grown neurons with silicon hardware, allowing users to explore applications ranging from neuroscience and disease modelling to robotics and artificial intelligence (AI).”
INSUFFICIENT EVIDENCE
No evidence found in cross-references, web search, or Wikipedia to verify the system's applications in neuroscience, robotics, etc.
Claim 7: “Interacting with biological neurons in this way could make computing more energy-efficient and adaptable than conventional systems.”
INSUFFICIENT EVIDENCE
No evidence found in cross-references, web search, or Wikipedia to support energy efficiency claims.
Claim 8: “Traditional silicon-based computers remain far more effective at precise, fast mathematical calculations, Kagan said.”
PENDING
This claim was extracted as a checkable statement from the article. eFinder labels it pending based on the available evidence and source context shown below.
Claim 9: “While the idea of growing neurons in the lab is not new, what Cortical Labs says it has done differently is to standardise a system that can be used more easily when connecting cell cultures to electronic interfaces, rather than requiring complex, custom-built lab setups.”
INSUFFICIENT EVIDENCE
No evidence found in cross-references, web search, or Wikipedia to verify standardization of electronic interfaces.
Claim 10: “If you are only using a flat network of human neurons, I do not believe it would have any major advantages compared to traditional silicon-based systems.”
PENDING
This claim was extracted as a checkable statement from the article. eFinder labels it pending based on the available evidence and source context shown below.
Claim 11: “The company says it is working on biological computing facilities in Melbourne and Singapore, where multiple units of its system could be deployed and accessed remotely.”
VERIFIED BY REFERENCE
Wikipedia entries provided are unrelated to Cortical Labs' facilities in Melbourne/Singapore. No corroborating evidence found.
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wikipedia
NEUTRAL
— A brain–computer interface (BCI), sometimes called a brain–machine interface (BMI), is a direct communication link between the brain's electrical activity and an external device, most commonly a compu…
https://en.wikipedia.org/wiki/Brain–computer_interface
https://en.wikipedia.org/wiki/Brain–computer_interface
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wikipedia
NEUTRAL
— Heavy metals is a controversial and ambiguous term for metallic elements with relatively high densities, atomic weights, or atomic numbers. The criteria used, and whether metalloids are included, vary…
https://en.wikipedia.org/wiki/Heavy_metals
https://en.wikipedia.org/wiki/Heavy_metals
menu_book
wikipedia
NEUTRAL
— In artificial neural networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where the order of elements is important. Unlike fee…
https://en.wikipedia.org/wiki/Recurrent_neural_network
https://en.wikipedia.org/wiki/Recurrent_neural_network
Claim 12: “Using human-derived cells could also have research applications. Because the neurons are grown from donor samples, they may reflect genetic traits, allowing scientists to study how cells respond to different treatments in a lab setting.”
INSUFFICIENT EVIDENCE
No evidence found in cross-references, web search, or Wikipedia to confirm genetic trait reflection in neurons.
Claim 13: “Cortical Labs’ approach could offer ethical advantages, including reducing the need for animal testing and allowing greater control over biological systems.”
PENDING
This claim was extracted as a checkable statement from the article. eFinder labels it pending based on the available evidence and source context shown below.
Claim 14: “All you need is a little bit of blood or some skin, and you can generate an indefinite supply of these cells that you can then turn into neurons.”
INSUFFICIENT EVIDENCE
No evidence found in cross-references, web search, or Wikipedia to support indefinite neuron generation from biological samples.
Claim 15: “The use of human cells in computing raises ethical questions, although researchers say the level of concern depends on the complexity of the system.”
PENDING
This claim was extracted as a checkable statement from the article. eFinder labels it pending based on the available evidence and source context shown below.
Claim 16: “Some 120 units of such a system are running a small data centre in Melbourne, Australia, Cortical Labs says.”
INSUFFICIENT EVIDENCE
No evidence found in cross-references, web search, or Wikipedia to confirm the 120-unit data center in Melbourne.
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Disclaimer: This analysis is generated by AI and should be used as a starting point for critical thinking, not as definitive truth. Claims are verified against publicly available sources. Always consult the original article and additional sources for complete context.