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AI has learnt how to predict your IQ from brain scans

Being able to gauge a smart a person is just from a brain scan could provide scientists with new insights into the brain.

Key takeaways

  • Scientists in the US have announced they’ve developed an Artificial Intelligence (AI) system that can tell how smart a person is just by looking at a scan of their brain.
  • To train their algorithm on the complex patterns of activity in the human brain, researchers fed the brain scans and intelligence scores from almost 900 individuals into their algorithm, and set it to work.
  • After processing the data, the algorithm was able to predict intelligence at statistically significant levels across these 900 subjects, said Julien Dubois, a postdoctoral fellow at Cedars Sinai Medical Center.
Cite or link to this article

Griffin, M. (2018) 'AI has learnt how to predict your IQ from brain scans', 311 Institute, 26 July. Available at: https://www.311institute.com/ai-learnt-predict-iq-from-brain-scans/ (Accessed: 1 October 2026).

Scientists in the US have announced they’ve developed an Artificial Intelligence (AI) system that can tell how smart a person is just by looking at a scan of their brain. Researchers from California Institute of Technology, Cedars Sinai Medical Center and the University of Salerno show that their new computing tool can predict a person's intelligence from functional Magnetic Resonance Imaging (fMRI) scans of their resting state brain activity.

fMRI’s create a map of brain activity by detecting changes in blood flow to specific brain regions. In other words, an individual's intelligence can be gleaned from patterns of activity in their brain when they are not doing or thinking anything in particular.

"We found if we just have people lie in the scanner and do nothing while we measure the pattern of activity in their brain, we can use the data to predict their intelligence," said Ralph Adolphs from Caltech.

To train their algorithm on the complex patterns of activity in the human brain, researchers fed the brain scans and intelligence scores from almost 900 individuals into their algorithm, and set it to work. After processing the data, the algorithm was able to predict intelligence at statistically significant levels across these 900 subjects, said Julien Dubois, a postdoctoral fellow at Cedars Sinai Medical Center. However there is a lot of room for improvement, he said.

The scans are coarse and noisy measures of what is actually happening in the brain, and a lot of potentially useful information is still being discarded. The study was conducted as part of an ongoing quest to build a diagnostic tool that can tell a great deal about a person's mind from their brain scans. Researchers said that they would like to one day see fMRIs work as well for diagnosing conditions like anxiety, Autism and Schizophrenia as well as MRI’s currently do for finding tumours, aneurisms, or liver disease.

"Functional MRI has not yet delivered on its promise as a diagnostic tool. We, and many others, are actively working to change this. The availability of large data sets that can be mined by scientists around the world is making this possible," said Dubois.

Intelligence was chosen as one of the first test beds for the technology because research has shown that it is very stable over time. That is, a person's IQ score will not vary much over a period of weeks, months, or years. The researchers also conducted a parallel study, using the same test population and approach, that attempted to predict personality traits from fMRI brain scans. The personality test they used divides personality into five scales - Openness to experience, Conscientiousness, Extraversion, Agreeableness and Neuroticism.

However, it has turned out to be much more difficult to predict personality using the method the team used for predicting intelligence, although elsewhere an Israeli company called Faception say they’ve managed to crack identifying a persons personality using just AI, machine vision, and a photo.

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Being able to gauge a smart a person is just from a brain scan could provide scientists with new insights into the brain.

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. Caltech scientists can predict intelligence brain scans 82675 caltech.edu
  2. Cedars Sinai Medical Center cedars-sinai.org
  3. University of Salerno University%20of%20Salerno

Source: first published by the 311 Institute on 26 July 2018. Cite as: Griffin, M. (2018). AI has learnt how to predict your IQ from brain scans. 311 Institute. https://www.311institute.com/ai-learnt-predict-iq-from-brain-scans/

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