about me

me

Hi! I’m Karthik Singaravadivelan me!

, a Computer Science + Psychology Major and Stamps President’s Scholar at Georgia Institute of Technology studying the intersection of cognitive science Cognitive Science:
The study of thought, learning, and mental organization, which draws on aspects of psychology, linguistics, philosophy, and computer modeling.  with modern applications of artificial intelligence Artificial Intelligence:
The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. . Specifically, I’m interested in how we can recreate human-like performance by iterating on principles of human-like learning.

now

I'm actively involved in lab efforts that pursue a variety of research thrusts, but my immediate goals can all be linked towards developing new strategies of cognition, iterating on knowledge representations, and leveraging properties of the brain and mind in humans to cultivate robust learning.

tomorrow

In my future, I hope to pursue a Computer Science PhD arguing the importance of fundamental tenets of human-like learning and intelligence in the global AI movement by developing neuro-symbolic Neuro-symbolic:
A type of architecture that integrates neural and symbolic AI architectures to address the weaknesses of each, providing a robust AI capable of cognitive modeling. artificial intelligence Intelligence:
Intelligence is the ability to handle new situations with little or no prior training, and, in my opinion, should be measured by the speed of learning and not the end of performance (we assume perfection by "good enough", as humans learn). , hoping to take advantage of these fundamental tenets to further the path to AGI. In a broader sense, I am excited to see the discovery of superintelligence Superintelligence:
If intelligence is the ability to handle new situations with little or no prior training, then progress towards greater intelligence achieves new frontiers on the tradeoff between data and performance on new tasks. With respect to this tradeoff, superintelligence is the feat of ultimate generalization with little or no data in the space. , the restructuring of modern capitalism for the prioritization of scientific discovery, and innovations in the education system that prime future generations to find their why.

pictures taken in georgia tech, alaska, switzerland

linkedin | github | instagram | email: karthiksing05@gmail.com