Matthew Griffin, described as “The Adviser behind the Advisers” and a “Young Kurzweil,” is the founder and CEO of the 311 Institute, a global futures and deep futures consultancy working between the dates of 2020 to 2070, and is an award winning futurist, and author of “Codex of the Future.” Regularly featured in the global media, including AP, BBC, CNBC, Discovery, RT, and Viacom, Matthew’s ability to identify, track, and explain the impacts of hundreds of revolutionary emerging technologies on global culture, industry and society, is unparalleled. Recognised for the past six years as one of the world’s foremost futurists, innovation and strategy experts Matthew is an international speaker who helps governments, investors, multi-nationals and regulators around the world envision, build and lead an inclusive, sustainable future. A rare talent Matthew’s recent work includes mentoring Lunar XPrize teams, re-envisioning global education and training with the G20, and helping the world’s largest organisations envision and ideate the future of their products and services, industries, and countries. Matthew's clients include three Prime Ministers and several governments, including the G7, Accenture, Bain & Co, BCG, BOA, Blackrock, Bentley, Credit Suisse, Dell EMC, Dentons, Deloitte, Du Pont, E&Y, GEMS, HPE, Huawei, JPMorgan Chase, KPMG, McKinsey, PWC, Qualcomm, SAP, Samsung, Sopra Steria, UBS, and many more.
WHY THIS MATTERS IN BRIEF
Being able to gauge a smart a person is just from a brain scan could provide scientists with new insights into the brain.
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.