Understanding the brain’s activity during this process

To fill in this information hole, David Mayo, a MIT PhD understudy in electrical designing and software engineering and a CSAIL partner, dug into the profound universe of picture datasets, investigating why certain pictures are more hard for people and machines to perceive than others.

Understanding the brain’s activity during this process and its connection to machine learning models is essential because some images naturally require more time to recognize.

Maybe there are mind boggling brain circuits or remarkable systems missing in our ongoing models, noticeable just when tried with testing visual boosts. This investigation is critical for grasping and upgrading machine vision models,” says Mayo, a lead creator of another paper on the work.