FB pixel

AI already is thinking the way we do

AI already is thinking the way we do
 

Does AI perform some cognitive tasks like we do because we have made the code or is there just a right way to think some thoughts?

It is enough right now to consider the possibility that deep convolutional neural networks spontaneously segregate object and facial recognition — both highly specialized tasks — just as human brains do.

A team of researchers from the Massachusetts Institute of Technology and Columbia University have found that networks organized themselves, without instruction, to separately recognize faces and objects.

Specifically, object-trained networks performed sub-optimally when tasked with identifying faces, and face networks struggled with objects.

A VGG16 network trained to spot both on 1,715 biometric identities and 423,000 object images was correct almost as often as a specially trained network, according to the research paper.

(An article in MIT News examining the research notes that the brain sets aside specific areas for other tasks, including understanding language, detecting written words and perception of vocal songs.)

As noted, the work raises unusual questions.

A person of faith could ponder the brain rapidly identifying a face in a forest through cognition segregation and see the work of a loving deity.

A rationalist might see an evolutionary advantage to quickly recognizing a friend or foe — and storing the information for future reference.

But why did the research team’s deep neural network separate the functions?

Maybe it is like a rain drop jinking down a pane. Its path is pre-ordained by the demand for efficiency.

Maybe the ghost in the machine just needs us to get out of its computing way.

Article Topics

 |   |   |   |   |   | 

Latest Biometrics News

 

U.S. academic institutions get biometric upgrades with new partnerships

A press release says ROC (formerly Rank One Computing), which provides U.S.-made biometrics and computer vision for military, law enforcement…

 

Smart Bangladesh 2041: Balancing ambition with reality

Bangladesh aims to be a “Smart” nation by 2041 as the country goes through a drastic transformation founded on digital identity…

 

Nigeria’s NIMC introducing one multi-purpose digital ID card, not three

The National Identity Management Commission of Nigeria (NIMC) has clarified that only one new digital ID card with multiple functions…

 

Age assurance tech is ready now, and international standards are on their way

The Global Age Assurance Standards Summit has wrapped up, culminating in a set of assertions, a seven-point call-to-action and four…

 

NIST finds biometric age estimation effective in first benchmark, coming soon

The U.S. National Institute of Standards and Technology presented a preview of its assessment of facial age estimation with selfie…

 

Maryland bill on police use of facial recognition is ‘strongest law in the nation’

Maryland has passed one of the more stringent laws governing the use of facial recognition technology by law enforcement in…

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Most Read From This Week

Featured Company

Biometrics Insight, Opinion

Digital ID In-Depth

Biometrics White Papers

Biometrics Events